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M2020-615 IBM business Analytics Performance Management Sales Mastery Test v2

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M2020-615 exam Dumps Source : IBM business Analytics Performance Management Sales Mastery Test v2

Test Code : M2020-615
Test name : IBM business Analytics Performance Management Sales Mastery Test v2
Vendor name : IBM
: 47 real Questions

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IBM IBM business Analytics Performance

IBM (IBM) Down 10.3% since final salary document: Can It Rebound? | killexams.com real Questions and Pass4sure dumps

A month has gone by considering that the remaining salary record for IBM (IBM). Shares bask in lost about 10.3% in that point body, underperforming the S&P 500.

Will the concurrent penniless style continue leading up to its next earnings unencumber, or is IBM due for a breakout? before they dive into how buyers and analysts bask in reacted as of late, let's select a short expose on the most concurrent income file with a view to accept a much better deal with on the valuable catalysts.

IBM’s Q2 outcomes profit from freight slicing, lessen participate weigh number

IBM said third-quarter 2018 non-GAAP salary of $three.42 per share, which beat the Zacks Consensus evaluate with the aid of pair of cents. earnings per participate (EPS) extended 4.9% from the yr-in the past quarter.

The year-over-yr growth in EPS will too live attributed to solid pre-tax margin working leverage (28 cents contribution) and aggressive participate buybacks (19 cents contribution). This was partially offset through lessen revenues (seven cents penniless influence) and better tax expense (17 cents negative influence).

Revenues of $18.seventy six billion lagged the Zacks Consensus evaluate of $19.10 billion and declined 2.1% on a yr-over-yr groundwork. At consistent currency (cc), revenues remained flat.

IBM pointed out that signings plunged 21% to $8 billion. capabilities backlog declined 3% from the year-ago quarter to $113 billion.

Geographic salary particulars

Revenues from Americas inched up 1%, driven by using continued expand in Canada and Latin the usa and modest growth in the united states.

Europe, center-East and Africa decreased 2% from the yr-ago quarter, driven by course of decline in Germany and France, partly offset by course of expand in Spain and the United Kingdom.

Asia-Pacific revenues declined 1% on a yr-over-yr groundwork with modest growth in Japan.

Strategic Imperatives boom Continues

Strategic Imperatives (cloud, analytics, mobility and safety) grew 7% at cc from the year-in the past quarter to $9.three billion. security revenues surged 34%. On a trailing 12-month basis, Strategic Imperatives revenues bask in been $39.5 billion, up 13% (eleven% at cc).

Cloud revenues surged 13% from the yr-ago quarter to $four.6 billion. The annual hasten cost for cloud as-a-provider revenues improved 24% at cc on a 12 months-over-year basis to $eleven.4 billion.

Cloud revenues of $19 billion on a trailing 12-month groundwork elevated 20% (18% at cc) and now money owed for 24% of IBM’s total revenues.

Cognitive Revenues Decline

Cognitive options’ revenues-exterior reduced 5.7% yr over year (down 5% at cc) to $four.15 billion. Segmental revenues touching on Strategic Imperatives and Cloud declined four% and a pair of%, respectively. Cloud as-a-carrier salary annual hasten fee changed into $2 billion.

options software comprises choices in strategic verticals relish health, domain-specific capabilities relish analytics and security, and IBM’s rising technologies of AI and blockchain. The side additionally comprises choices that handle horizontal domains relish collaboration, commerce and skill. solutions application revenues reduced three% 12 months over 12 months within the quarter.

IBM brought up that in commerce domain the infusion of AI into choices relish customer sustain analytics helped SaaS signings to develop double digit within the quarter. The recent launch of Notes Domino version 10, which is optimized for cellular, and supports JavaScript and node.js will enhance growth collaboration in 2019.

Transaction Processing utility includes application that runs mission-important workloads, leveraging IBM’s hardware structures. Revenues fell eight% on a year-over-12 months foundation.

IBM witnessed expand in industry verticals relish health, key areas of analytics and protection within the quarter. Watson health witnessed large-based growth in Payer, issuer, Imaging and life Sciences domains.

right through the quarter, the Sugar.IQ application, developed with the aid of Medtronic in partnership with IBM, hit the market. The utility is designed to simplify and enhance each day diabetes administration.

IBM pointed out that analytics carried out smartly within the quarter, driven by using data science choices and IBM Cloud private for statistics offering.

right through the quarter, the enterprise introduced warp detection capabilities and launched original Watson functions on the IBM Cloud deepest platform.

security expand became driven by using offerings in orchestration, facts security and endpoint administration.

In blockchain, IBM food bask in self-confidence network for food protection went are vital within the quarter. Reatiler Carrefour joined IBM’s blockchain network. The company additionally collectively introduced TradeLens with Maersk that addresses inefficiencies within the international supply chain. IBM currently supports 75 lively blockchain networks.

global business features Revenues enhance

Revenues from world business functions-external side were $4.13 billion, up 0.9% from the 12 months-ago quarter (up 3% at cc). Segmental revenues touching on Strategic Imperatives grew 9%. Cloud apply surged 18%. Cloud as-a-provider income annual hasten expense became $1.9 billion.

software administration revenues declined 1% from the yr-ago quarter. youngsters, world manner services revenues climbed 2%. furthermore, Consulting revenues extended 7% 12 months over year, pushed by means of robust performance from IBM’s digital business.

expertise services & Cloud platforms: Revenues Dip

Revenues from technology capabilities & Cloud structures-exterior lowered 2% from the year-ago quarter (flat at cc) to $8.29 billion. Segmental revenues relating Strategic Imperatives advanced 16%, driven by hybrid cloud features. Cloud surged 22% from the 12 months-ago quarter. Cloud as-a-service revenue annual hasten rate changed into $7.5 billion.

Integration utility extended 1% from the 12 months-in the past quarter. total through the quarter, 95 organizations everywhere selected IBM Cloud private providing. Infrastructure services revenues too expanded 1% on a 12 months-over-year foundation.

however, Technical guide services revenues reduced three% from the 12 months-ago quarter.

vigour & z14 pressure programs Revenues

techniques revenues elevated 0.9% on a year-over-year groundwork (up 2% at cc) to $1.74 billion. Segmental revenues concerning Strategic Imperatives surged 5%, whereas Cloud revenues declined 8%.

IBM Z revenues accelerated 6% yr over yr on more than 20% MIPS increase, driven via vast-based mostly adoption of the z14 mainframe.

energy revenues increased 17% from the yr-in the past quarter. right through the quarter, IBM launched its next generation POWER9 processors for midrange and high-end programs which are designed for handling advanced analytics, cloud environments and facts-intensive workloads in AI, HANA, and UNIX markets.

IBM additionally brought original offerings optimizing each hardware and software for AI. administration believes that products relish PowerAI vision and PowerAI commercial enterprise will aid compel original client adoption.

besides the fact that children, storage hardware revenues declined 6% because of vulnerable efficiency within the midrange and extreme conclusion, in section offset by using mighty boom in total glint Arrays. IBM cited that pricing power in the immensely aggressive storage market is hurting revenues. The company introduced its original FlashSystems with subsequent generation NVMe technology during the quarter.

operating programs utility revenues declined 4%, while techniques Hardware advanced 4% from the yr-in the past quarter.

ultimately, world Financing (contains financing and used rig income) revenues lowered 9.1% at cc to $388 million.

working particulars

Non-GAAP indecent margin remained unchanged from the yr-ago quarter at forty seven.4%. This turned into IBM’s gold benchmark indecent margin performance in years and changed into basically driven via 160 basis features (bps) growth in functions margin. although, damaging mingle in z14 mainframe and application completely offset this growth.

operating cost declined 4% 12 months over 12 months, because of realization of acquisition synergies and improving operational efficiencies. IBM continues to site money into quickly transforming into fields relish hybrid cloud, synthetic intelligence (AI), safety and blockchain.

Pre-tax margin from carrying on with operations multiplied 50 bps on a year-over-12 months basis to 19.2%.

Cognitive options and global enterprise capabilities side pre-tax margins expanded 190 bps and 320 bps, respectively, on a year-over-year groundwork. although, technology features & Cloud platforms section pre-tax margin gotten smaller one hundred bps.

methods pre-tax income was $209 million down 38% year over year. global Financing segment pre-tax earnings jumped 26.7% to $308 million.

steadiness Sheet & cash poke particulars

IBM ended third-quarter 2018 with $14.70 billion in complete money and marketable securities compared with $11.ninety three billion on the conclusion of 2d-quarter 2018. total debt (together with global financing) turned into $forty six.9 billion, up $1.four million from the previous quarter.

IBM stated money rush from operations (except global Financing receivables) of $three.1 billion and generated free money rush of $2.2 billion within the quarter.

within the suggested quarter, the business back $2.1 billion to shareholders through dividends and participate repurchases. on the conclusion of the quarter, the business had $1.four billion remaining beneath current buyback authorization.

suggestions

IBM reiterated EPS forecast for 2018. Non-GAAP EPS is anticipated to live as a minimum $13.eighty.

IBM nonetheless anticipates 2018 free money stream of $12 billion.

Story Continues

How bask in Estimates Been affecting when you respect that Then?

in the past month, traders bask in witnessed a downward vogue in sparkling estimates.

VGM rankings

at present, IBM has a regular boom ranking of C, although it is lagging by far on the Momentum score entrance with a D. besides the fact that children, the stock was allocated a grade of A on the cost side, placing it within the salubrious quintile for this investment strategy.

average, the stock has an combination VGM rating of B. in case you don't look to live focused on one approach, this score is the one live sure you live interested in.

Outlook

Estimates were broadly trending downward for the inventory, and the magnitude of these revisions suggests a downward shift. chiefly, IBM has a Zacks Rank #3 (hold). They anticipate an in-line recrudesce from the stock in the following pair of months.

need the latest suggestions from Zacks funding analysis? nowadays, that you can download 7 choicest shares for the next 30 Days. click to accept this free report international enterprise Machines corporation (IBM) : Free inventory evaluation document To read this article on Zacks.com click right here. Zacks funding research


IBM Db2 Analytics Accelerator edition 7.1 — performance with greater Flexibility | killexams.com real Questions and Pass4sure dumps

corporations possess a wealth of constructive data on their business programs. Ideally, choices may noiseless live derived from this records because it’s generated to back these days’s actual-time company wants. Deriving insight from out of date data can lead to negative worthy selections and potentially unsafe movements. This could enable fraud and cyber criminals to select odds of that facts and the systems. It might too outcome in misplaced revenue through overlooked revenue alternatives. in a similar fashion, the equal may well live referred to of now not being capable of resolve facts speedy adequate.

IBM Db2 Analytics Accelerator for z/OS (Accelerator) can back tackle each of these challenges. originally, it makes it workable for queries to live performed on current transactional records with dinky or no impact to operational device efficiency. Secondly, the Accelerator can work to vastly expand the efficiency of germane queries typically create in analytics applications.

The Accelerator is designed for top-pace analysis of enterprise statistics. it may possibly assist in the reduction of operational cost and complexity by means of bringing the analytics nearer to the facts and enabling close precise-time analytics on transactional information because it’s generated. The Accelerator transforms the IBM Z platform right into a hybrid transaction and analytical processing (HTAP) atmosphere. it might deliver excessive-speed processing for advanced, resource-intensive Db2 queries to assist enterprise-vital reporting and analytic workloads.

Flexibility and efficiency with Db2 Analytics Accelerator edition 7.1

The Accelerator has been attainable for several years and is used with the aid of IBM Z clients across many industries to back pace complicated queries on enterprise-crucial records, without having to circulation that records to a different platform for analytics. Executing transaction and analytical workloads concurrently on the very platform can assist in the reduction of latency while leveraging the protection capabilities of the IBM Z platform. Analytical processing does not demean transactional workload efficiency as a result of transactional and analytical queries are each processed within divorce compute useful resource pools.

As depicted in device #1, the Db2 Analytics Accelerator version 7.1 supplies two deployment options, either on the IBM integrated Analytics gadget (IAS) and/or without delay on the IBM Z mainframe.

determine #1: dedicated appliance (Accelerator on IAS) or aboriginal on IBM Z (Accelerator on IBM Z) choosing the right choice

The Db2 Analytics Accelerator for z/OS edition 7.1 provides the preference to install the kindhearted factor that best suits an organization’s requirements:

  • Db2 Analytics Accelerator on IAS enables businesses to set up on the IBM built-in Analytics gadget equipment. This pre-configured providing comprises hardware (compute, storage, and networking) and application for convenient deployment, management, and towering efficiency. It too presents protection-wealthy, flexible and elastic facts storage it really is each effortless to deploy and manipulate.
  • Db2 Analytics Accelerator on IBM Z permits companies to set up at once on the IBM Z mainframe, inside a cozy service Container leveraging built-in Facility for Linux (IFL) processors. This allows for for deeper integration with the IBM Z infrastructure. This alternative can too present flexible capacity to reply to height analytic workload requirements while meeting SLAs. It supports a subset of SQL, executable in Db2 for z/OS. Basing the Accelerator on Db2 Warehouse makes it workable for improved employ of the supported SQL as a result of greater SQL compatibility across the Db2 household.
  • both deployment alternatives are in response to IBM’s analytical engine, Db2 Warehouse. This helps assure a uniform adventure with one API and database engine. It permits agencies to originate investments as soon as in enabling their purposes and workloads for the Accelerator after which transition with ease between deployment alternate options. The IBM Db2 Warehouse gives the following benefits:

  • more desirable SQL compatibility across the total Db2 family of products.
  • Columnar know-how supplying sooner efficiency for a lot of analytic queries than previous versions.
  • Containerized strategy can facilitate quicker, less complicated integration with different applied sciences and tactics.
  • Deployment on IAS

    IBM Db2 Analytics Accelerator on IAS is a subsequent-technology hardware equipment. It provides its accessories out of the field, together with optimized hardware and software. This deployment alternative can provide a balanced, advanced, performance-optimized configuration. The hardware contains the rack, the physical servers and storage. it is based on IBM vigour hardware and is optimized for price/performance. The software stack comprises the Linux operating device, Docker utility, Docker container and infrastructure administration amenities.

    Deployment on IBM Z

    IBM Db2 Analytics Accelerator on IBM Z situations will too live deployed at once by the employ of a down load & evanesce method. Deploying the Accelerator on IBM Z applications the utility stack into an IBM cozy carrier Container (SSC) ratiocinative partition (LPAR). This helps bring a self-managed rig operating in a SSC LPAR that can too live deployed in minutes.

    dissimilar restful provider Containers can participate the very IFLs. diverse Accelerators, for this reason, can participate the very hardware components. This can live really useful for a number of creation, and check/construction situations, which may well live provisioned and re-provisioned as crucial.

    The Accelerator on IBM Z integrates into a firm’s IBM Z environment and leverages the well-known LPAR-reminiscence and CPU administration procedures. This manner too leverages the company’s personal disk to keep Accelerator-side records. This option is for agencies that want to select capabilities of IBM Z amenities for activities akin to catastrophe recuperation and makes it workable for for deeper integration with the IBM Z infrastructure.

    summary and subsequent Steps

    When real-time insight concerns, IBM Z, along with Db2 for z/OS and the Db2 Analytics Accelerator, can back deliver a powerful transaction and analytical environment.

    it may assist groups select skills of their commercial enterprise statistics where it originates to work to drive towering bask in an impact on selections whereas minimizing latency, simplifying infrastructure, assisting to reduce the can freight of such IT infrastructure and improving data safety. it may assist flip information into insight, and insight into probability to supply close true-time answers to one of the vital most crucial questions.

    To gain information of extra about IBM Db2 Analytics Accelerator edition 7.1, click right here.

    Stephen Astorino,VP of development, Hybrid Cloud, z Analytics and Canada Lab Director IBM Analytics

    observe me: @astorino_steven


    IBM Db2 Statistical services for Analytics | killexams.com real Questions and Pass4sure dumps

    unless lately, enterprise analytics against massive statistics and the enterprise records warehouse had to approach from sophisticated software programs. This become as a result of many statistical features similar to medians and quartiles were no longer attainable in basic SQL, forcing the packages to retrieve tremendous outcome units and operate aggregations and records in the community. today, many database management techniques bask in integrated these functions into SQL. This comprises IBM's flagship product, Db2.

    basic Analytics

    Many gigantic IT shops applied large information solutions over a decade in the past. at that time, the science of facts was well-based. enterprise analysts already had loads of journey examining subsets of statistics from operational techniques in addition to time sequence facts in the enterprise information warehouse. These analyses protected primary statistical capabilities comparable to minima, maxima and means, in addition to advanced services similar to percentiles, cubes and rollups.

    together with gigantic facts options came software programs that allowed company analysts to originate employ of a visual interface to select records elements and specify aggregation standards and statistical calculations. The software then automatically creates SQL to acquire the germane information. despite the fact, a vital efficiency subject arose with gigantic records. while scanning colossal quantities of statistics at once changed into a feature of huge information options, advanced statistical calculations couldn't live carried out there.

    This required returning massive amounts of information to the analyst’s software, which required a configuration with enormous quantities of reminiscence and CPU vigour. This too spawned the conception of growing local facts marts to hang subsets of the warehouse and large facts so as to hasten huge statistical calculations locally. fortuitously, database management systems (DBMSs) stepped up and delivered multiple original SQL capabilities to back enterprise analysts.

    Most DBMSs already offered primary statistical operations such as the following:

  • Sum, minimal and maximum
  • average (arithmetic suggest)
  • normal deviation
  • Variance and covariance
  • Correlation
  • In concurrent DBMSs that back a large records respond (and, to a lesser extent an business statistics warehouse), it is now crucial to guide greater advanced services for usability and performance factors.

    IBM Db2 SQL Enhancements

    IBM has carried out numerous statistical services in its flagship relational database product Db2. These consist of Median and Percentiles as well as dice and Rollup.

    Median

    Calculating a typical of a set of numbers looks relish a simple operation. besides the fact that children, the time era “commonplace” has assorted meanings in records. Three of these are the imply, the median and the mode. Even the insinuate has a few diversifications. The arithmetic involve is the most regular mean, and this feature has existed in ANSI unprejudiced SQL for decades. In recent edition of Db2, IBM has multiplied its SQL variant to encompass a median feature.

    Percentiles

    The percentile is an aggregate feature that returns the facts cost within a bunch of values that corresponds to a given percentile. For clarity, the median cost of a gaggle of numbers is the cost this is at the fiftieth percentile. If the number of values within the community is even, then the median is interpolated as being between the two nearest values. as an example, within the set (1, 2, 3), the quantity 2 is the median, or fiftieth percentile. within the set (1,2,3,four) the median is calculated as 2.5. Percentiles are a typical manner of depicting facts graphically, essentially the most generic illustration being pie charts.

    The percentile characteristic continues facts aggregation, sorting and calculation operations on the host desktop, warding off downloads of huge result units for aboriginal calculation. It additionally simplifies SQL statements, enabling the database administrator (DBA) the probability to trap and tune analytical queries with the goal of expanding efficiency and reducing aid usage. for example, if medians and percentiles are required for a specific column price, the DBA may dependence an index on that column; then again, there are various strategies (discussed beneath) to “pre-aggregate” benchmark calculations.

    cube and Rollup

    The cube and rollup services are equivalent, in that they are a manner for examining subtotals of a group of statistics gadgets, with rollup being a subset of cube. for instance, dependence an business accounting device with multiple debts owned by every department. to resolve account balances throughout the corporation an analyst desires to reckon subtotals for each department, as well as an regular total. during this situation of affairs, the bills roll up to departments, which then roll up to a magnificient complete. This might live coded in SQL during this method:

    choose  Department_ID, SUM (Account_Balance)

    FROM  Account_Table

    community by course of ROLLUP (Department_ID)

    ORDER by course of  Department_ID

    This SQL remark generates a outcomes set with an account equipoise subtotal row for every department followed through a final magnificient total row. more complicated statements are viable, including dissimilar tiers of subtotals and specification of discrete grouping characteristics. As with medians and percentiles, including the rollup definition in the SQL permits the DBMS to carry out a solitary circulate of the information and role the required calculations efficiently.

    The cube feature works in a similar trend via enabling specification of grouping standards. (See link at the conclusion of this article for particulars.)  believe right here Account table:

    Account_Table

    Account_IDBalanceCustomer_IDCustomer_TypeAccount_TypeCustomer_Region...

    The ultimate three columns are candidates for grouping, as a enterprise analyst might too want to overview a summary of bills for particular consumer forms or account forms, or they might want to evaluate shoppers throughout distinctive regions. in terms of the rollup function, the want may live to create subtotals for each of these columns, or for combinations of these columns. Some feasible requirements might possibly be:

  • common stability for every client classification
  • minimal and highest steadiness for every aggregate of client classification and account category
  • general steadiness in each site with subtotals for each client class
  • instead of code assorted SQL statements for each and every feasible rollup, the dice feature will too live used to achieve this in a solitary remark:

    opt for  Customer_Type, Account_Type, Customer_Region, SUM(Account_Balance)

    FROM Account_Table

    neighborhood by course of dice  (Customer_Type, Account_Type, Customer_Region)

    ORDER by means of  (Customer_Type, Account_Type, Customer_Region)

    The outcome returned by this commentary is a outcome set of rows with right here:

  • Subtotal for each and every aggregate of (Customer_Type, Account_Type, Customer_Region)
  • Subtotal for each combination of (Customer_Type, Account_Type)
  • Subtotal for every combination of (Customer_Type, Customer_Region)
  • Subtotal for every admixture of (Account_Type, Customer_Region)
  • Subtotal for each and every aggregate of (Customer_Type)
  • Subtotal for every admixture of (Account_Type)
  • Subtotal for every combination of (Customer_Region)
  • Grand total
  • The skill of this quite elementary SQL statement to carry assorted rollups is a very salubrious boon to both the business analyst and the DBA. Simplified SQL means fewer mistakes, easier debugging and stronger recognition of tuning wants.

    Tuning for Analytics

    The DBA who helps company analysts has a number of options for cutting back rig resources whereas supplying quickly question response instances. One system is to implement a large facts solution such as the IBM Db2 Analytics Accelerator (IDAA), a hybrid of software and hardware that combines a gigantic disk storage array with hugely parallel processing. Allocating Db2 tables in the IDAA enables the Db2 Optimizer to direct SQL statements against these tables to the IDAA, and this always capacity extraordinarily speedy question execution times. one other preference is to shop tables in both aboriginal Db2 and within the IDAA. The talents of this option is to give multiple access paths to a selected table, on the grounds that aboriginal Db2 tables can bask in indexes defined on their columns.

    a third alternative is to create abstract tables, occasionally known as materialized question tables (MQTs). The DBA creates these tables through defining an SQL remark it is used to populate the table, after which defining the instances when the SQL remark is to live carried out. An instance will aid clarify this.

    agree with their Account desk defined earlier:

    Account_Table

     

    Account_ID

    balance

    Customer_ID

    Customer_Type

    Account_Type

    Customer_Region

    ...

    count on that Account_Table exists in an information warehouse. This capability that it is not a section of an operational gadget with ongoing online pastime and batch processes; reasonably, it includes rows which are loaded as soon as per day and remain static total through the day. Let’s too weigh on that the DBA has captured and analyzed ordinary SQL statements submitted through company analysts and decided that many queries require subtotals by Customer_Region.  it is, many queries comprise the following SQL syntax:

    select  SUM (Account_Balance), ...

    FROM  Account_Table

    community through ROLLUP (Department_ID)

    ...

    For this static desk, the rollup is calculated every time one of these queries executes, with similar results. The DBA can lessen resource usage via making a materialized question desk relish this one:

     

    CREATE table  Rollup_Acct_Dept_ID

       AS (opt for  SUM (Account_Balance), ...

         FROM  Account_Table

               community through ROLLUP (Department_ID)

               ...

    After developing this table, the DBA considerations the REFRESH command to populate it. table Rollup_Act_Dept_ID now consists of rows with the subtotal counsel from Account_Table. considering the desk data is static during this illustration, the rollup facts want best live calculated as soon as per day. Queries that need the rollup statistics can now query the MQT without delay; however, they could remain coded as-is, and the Db2 Optimizer will automatically entry the MQT in preference to re-calculate the subtotals.

    abstract

    within the early days of massive records, enterprise analysts grew aware of getting rapid outcomes from their queries. youngsters, tables grew, both in variety of columns and in the variety of existing rows, and queries grew to live more complicated and required lager amounts of data. finally, SQL analytical query efficiency grew to live an issue.

    one of the vital challenging performance issues changed into the expand in complexity of the statistical techniques and methods performed on the information. statistics-intensive capabilities that required assorted aggregations and subtotals or different capabilities that had been not supported without delay in SQL needed to live carried out by using the analyst’s software. This ended in gathering tremendous outcome sets and transporting them from the large facts utility throughout the network to permit the BI application rig to complete the calculations.

    IBM’s Db2 now includes SQL options that can role such discrete statistical functions comparable to percentiles and cubes within the DBMS. This not most efficacious enormously reduces the quantity of facts traversing the network, it too provides the DBA opportunities to tune entire sets of tables and functions in site of one SQL commentary at a time.

     # # #

     For greater suggestions:


    M2020-615 IBM business Analytics Performance Management Sales Mastery Test v2

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    The Best Self-Service business Intelligence (BI) Tools of 2018 | killexams.com real questions and Pass4sure dumps

    Analytics Beyond Spreadsheets

    For many years, Microsoft outdo and other spreadsheets were the tools of preference for business professionals who were looking to visualize their data. But spreadsheets had their limits for many business intelligence (BI)-related tasks. Even today, trying to creating charts analyzing complicated datasets in outdo can noiseless live frustrating. Sometimes you start with the wrong kindhearted of data, for example, or you may not know how to maneuver the spreadsheet to create the data visualization{{/ZIFFARTICLE} you need. On the other hand, the rising tide of data democratization is giving everyone in an organization access to corporate data. The need has arisen for efficacious tools that people of total skill levels can employ to originate sense of the wealth of information created by businesses every solitary day.

    Spreadsheets too drop down when the data isn't well-structured or can't live sorted out in trim rows and columns. And, if you bask in millions of rows or very sparse matrices, then the data in a spreadsheet can live painful to enter and it can live arduous to visualize your data. Spreadsheets too bask in issues if you are trying to create a report that spans multiple data tables or that mixes in Structured Query Language (SQL)-based databases, or when multiple users try to maintain and collaborate on the very spreadsheet.

    A spreadsheet containing up-to-the-minute data can too live a problem, particularly if you bask in exported graphics that need to live refreshed when the data changes. Finally, spreadsheets aren't salubrious for data exploration; trying to spot trends, outlying data points, or counterintuitive results is difficult when what you are looking for is often hidden in a long row of numbers.

    While spreadsheets and self-service BI tools both originate employ of tables of numbers, they are really acting in different arenas with different purposes. A spreadsheet is first and foremost a course to store and panoply calculations. While some spreadsheets can create very sophisticated mathematical models, at their core it is total about the math more than the model itself.

    This is total a long-winded course of proverb that when businesses employ a spreadsheet, they are actively sabotaging themselves and their capacity to consistently accept valuable insights from their data. BI tools are specficially designed to assist businesses better understand their data, and can prove to live a huge profit to those upgrading from what a limited spreadsheet can do.

    What Is business Intelligence?

    Defining BI is tricky. When you examine what it does and why companies employ it, it can start to sound vague and nebulous. After all, many different kinds of software present analytics features, and total businesses want to improve. Understanding what a BI is or isn't can live unclear.

    BI is an umbrella term meant to cover total of the activities necessary for a company to revolve raw information into actionable knowledge. In other words, it's a company's efforts to understand what it knows and what it doesn't know of its own existence and operations. The ultimate goal is being able to expand profits and sharpen its competitive edge.

    Framed that way, BI as a concept has been around as long as business. But that concept has evolved from early basics [like Accounts Payable (AP) and Accounts Receivable (AR) reports and customer contact and condense information] to much more sophisticated and nuanced information. This information ranges across everything from customer behaviors to IT infrastructure monitoring to even long-term fixed asset performance. Separately tracking such metrics is something most businesses can carry out regardless of the tools employed. Combining them, especially disparate results from metrics normally not associated with one another, into understandable and actionable information, well, that's the expertise of BI. The future of BI is already shaping up to simultaneously broaden the scope and variety of data used and to sharpen the micro-focus to ever finer, more granular levels.

    BI software has been instrumental in this equable progression towards more in-depth information about the business, competitors, customers, industry, market, and suppliers, to name just a few workable metric targets. But as businesses grow and their information stores balloon, the capturing, storing, and organizing of information becomes too large and complicated to live entirely handled by mere humans. Early efforts to carry out these tasks via software, such as customer relationship management (CRM) and enterprise resource planning (ERP), led to the formation of "data silos" wherein data was trapped and useful only within the confines of certain operations or software buckets. This was the case unless IT took on the chore of integrating various silos, typically through painstaking and highly manual processes.

    While BI software noiseless covers a variety of software applications used to resolve raw data, today it usually refers to analytics for data mining, analytical processing, querying, reporting, and especially visualizing. The main dissimilarity between today's BI software and gigantic Data analytics is mostly scale. BI software handles data sizes typical for most organizations, from tiny to large. gigantic Data analytics and apps handle data analysis for very large data sets, such as silos measured in petabytes (PBs).

    Self-Service BI and Data Democratization

    The BI tools that were celebrated half a decade or more ago required specialists, not just to employ but too to interpret the resulting data and conclusions. That led to an often inconvenient and fallible filter between the people who really needed to accept and understand the business—the company determination makers—and those who were gathering, processing, and interpreting that data—usually data analysts and database administrators. Because being a data specialist is a demanding job, many of these folks were less well-versed in the actual workings of the business whose data they were analyzing. That led to a focus on data the company didn't need, a misinterpretation of results, and often a sequence of "standard" reporting that analysts would hasten on a scheduled basis instead of more ad hoc intelligence gathering and interpretation, which can live highly valuable in fast-moving situations.

    This problem has led to a growing original trend among original BI tools coming onto the market today: that of self-service BI and data democratization. The goal for much of today's BI software is to live available and usable by anyone in the organization. Instead of requesting reports or queries through the IT or database departments, executives and determination makers can create their own queries, reports, and data visualizations through self-service models, and connect to disparate data both within and outside the organization through prebuilt connectors. IT maintains overall control over who has access to which tools and data through these connectors and their management implement arsenal, but IT no longer acts as a bottleneck to every query and report request.

    As a result, users can select odds of this distributed BI model. Key tools and captious data bask in moved from a centralized and difficult-to-access architecture to a decentralized model that merely requires access credentials and familiarity with original BI software. This results in a total original kindhearted of analysis becoming available to the organization, namely, that of experienced, front-line business people who not only know what data they need but how they need to employ it.

    The emerging crop of BI tools total work arduous at developing front-end tools that are more intuitive and easier to employ than those of older generations—with varying degrees of success. However, that means a key criteria in any BI implement purchasing determination will live to evaluate who in the organization should access such tools and whether the implement is appropriately designed for that audience. Most BI vendors attest they're looking for their implement suites to become as ubiquitous and effortless to employ for business users as typical business collaboration tools or productivity suites, such as Microsoft Office. not a bit bask in gotten quite that far yet in my estimation, but some are closer than others. To that end, these BI implement suites minister to focus on three core types of analytics: descriptive (what did happen), prescriptive (what should chance now), and predictive (what will chance later).

    What Is Data Visualization?

    In the context of BI software, data visualization is a rapid and efficacious manner of transferring information from a machine to a human brain. The thought is to site digital information into a visual context so that the analytic output can live quickly ingested by humans, often at a glance. If this sounds relish those pie and bar charts you've seen in Microsoft Excel, then you're right. Those are early examples of data visualizations.

    But today's visualization forms are rapidly evolving from those traditional pie charts to the stylized, the artistic, and even the interactive. An interactive visualization comes with layered "drill downs," which means the viewer can interact with the visual to achieve more granular information on one or more aspects incorporated in the bigger picture. For example, original values can live added that will change the visualization on the fly, or the visualization is actually built on rapidly changing data that can revolve a static visual into an animation or a dashboard.

    The best visualizations carry out not seek artistic awards but instead are designed with role in mind, usually the quick and intuitive transfer of information. In other words, the best visualizations are simple but powerful in clearly and directly delivering a message. High-end visuals may contemplate impressive at first glance but, if your audience needs assist to understand what's being conveyed, then they've ultimately failed.

    Most BI software, including those reviewed here, comes with visualization capabilities. However, some products present more options than others so, if advanced visuals are key to your BI process, then you'll want to closely examine these tools. There are too third-party and even free data visualization tools that can live used on top of your BI software for even more options.

    Products and Testing

    In this review roundup, I tested each product from the perspective of a business analyst. But I too kept in understanding the viewpoint of users who might bask in no familiarity with data processing or analytics. I loaded and used the very data sets and posed the very queries, evaluating results and the processes involved.

    My train was to evaluate cloud versions alone, as I often carry out analysis on the cruise or at least on a variety of machines, as carry out legions of other analysts. But, in some cases, it was necessary to evaluate a desktop version as well or instead of the cloud version. One sample of this is Tableau Desktop, a favorite implement of Microsoft outdo users who simply bask in an affinity for the desktop implement (and who just poke to the cloud long enough to participate and collaborate).

    I ended up testing the Microsoft Power BI desktop version, too, on a Microsoft representative's recommendation because, as the rep said, "the more robust data prep tools are there." Besides, said the rep, "most users prefer the desktop implement over a web implement anyway." Again, I don't doubt Microsoft's title but that does look eerie to me. I've heard it said that desktop tools are preferred when the data is local as the process feels faster and easier. But seriously, how much data is truly local anymore? I suspect this odd desktop implement preference is a bit more personal than fact-based, but to each his own.

    Then there's Google Analytics, a unadulterated cloud player. The implement is designed to resolve website and mobile app data so it's a different critter in the BI app zoo. That being the case, I had to deviate from using my test data set and queries, and instead test it in its natural habitat of website data. Nonetheless, it's the processes that are evaluated in this review, not the data.

    While I didn't test any of these tools from a data scientist's role, I did mention advanced capabilities when I create them, simply to let buyers know they exist. IBM Watson Analytics is one implement with the capacity to extend to highly advanced features and was too one of the easiest to employ upfront. IBM Watson Analytics is well-suited for business analysts and for widespread data democratization because it requires little, if any, information of data science. Instead, it works well by using natural language and keywords to figure queries, a characteristic that can originate it valuable to practically anyone. It's highly intuitive, very powerful, and effortless to learn. Microsoft Power BI is a stalwart second as it, too, is powerful while too familiar, certainly to any of the millions of Microsoft business users. However, there are several other powerful and intuitive apps in this lineup from which to choose; they total bask in their own pros and cons. We'll live adding even more in the coming months.

    One thing to watch out for during your evaluations of these products is that many don't yet handle streaming data. For many users, that won't live a problem in the immediate future. However, for those involved with analyzing business processes as they happen, such as website performance metrics or customer deportment patterns, streaming data can live invaluable. Also, the Internet of Things (IoT) will drive this issue in the near future and originate streaming data and streaming analytics a must-have feature. Many of these tools will bask in to up their game accordingly so, unless you want to jump ship in a year or two, it's best to arbitrator ahead when considering BI and the IoT.

    BI and gigantic Data

    Another locality in which self-service BI is taking off is in analyzing gigantic Data. This is a newer evolution in the database space but it's driving tremendous growth and innovation. The name is an apt descriptor because gigantic Data generally refers to huge data sets that are simply too gigantic to live managed or queried with traditional data science tools. What's created these behemoth data collections is the explosion of data-generating, tracking, monitoring, transaction, and social media tools (to name a few) that bask in become so celebrated over the last several years.

    Not only carry out these tools generate loads of original data, they too often generate a original kindhearted of data, namely "unstructured" data. Broadly speaking, this is simply data that hasn't been organized in a predefined way. Unlike more traditional, structured data, this kindhearted of data is ponderous on text (even free-form text) while too containing more easily defined data, such as dates or credit card numbers. Examples of apps that generate this kindhearted of data comprise the customer behavior-tracking tools you employ to espy what your customers are doing on your e-commerce website, the piles of log and event files generated from some smart devices (such as alarms and smart sensors), and broad-swath social media tracking tools.

    Organizations deploying these tools are being challenged not only by a sudden deluge of unstructured data that quickly strains storage resources [think beyond terabytes (TB) into the PB and even exabyte (EB) range] but, even more importantly, they're finding it difficult to query this original information at all. Traditional data warehouse tools generally weren't designed to either manage or query unstructured data. original data storage innovations such as data lakes are emerging to solve for this need, but organizations noiseless relying exclusively on traditional tools while deploying front-line apps that generate unstructured data often find themselves sitting on mountains of data they don't know how to leverage.

    Enter gigantic Data analysis standards. The golden benchmark here is Hadoop, which is an open-source software framework that Apache specifically designed to query large data sets stored in a distributed fashion (meaning, in your data center, the cloud, or both). Not only does Hadoop let you query gigantic Data, it lets you simultaneously query both unstructured as well as traditional structured data. In other words, if you want to query total of your business data for maximum insight, then Hadoop is what you need.

    You can download and implement Hadoop itself to discharge your queries, but it's typically easier and more efficacious to employ commercial querying tools that employ Hadoop as the foundation of more intuitive and full-featured analysis packages. Notably, most of the tools reviewed here, including Chartio, IBM Watson Analytics, Microsoft Power BI, and Tableau Desktop, total back this. However, each requires varying levels of configuration or even add-on tools to carry out so—with IBM, Microsoft, and Tableau offering exceptionally deep capabilities. However, both IBM and Microsoft will noiseless anticipate customers to utilize additional tools around aspects such as data governance to ensure optimal performance.

    Finding the right BI Tool

    Given the issues spreadsheets can bask in when used as ad hoc BI tools and how firmly ingrained they are in their psyches, finding the right BI implement isn't a simple process. Unlike spreadsheets, BI tools bask in major differences when it comes to how they consume data inputs and outputs and maneuver their tables. Some tools are better at exploration than analysis, and some require a fairly precipitous learning curve to really originate employ of their features. Finally, to originate matters worse, there are dozens if not hundreds of such tools on the market today, with many vendors willing to title the self-serve BI label even if it doesn't quite fit.

    Getting the overall workflow down with these tools will select some study and discussion with the people you'll live designating as users. Tableau Desktop and Microsoft Power BI, for example, will start users out with the desktop version to build visualizations and link up to various data sources. Once you bask in this together, you can start sharing those results online or across your organization's network. With others, such as Chartio or Google Analytics, you start in the cloud and remain there.

    In recent years, companies bask in been taking odds of the wide selection of online learning platforms out there to train their employees on using these platforms. As intuitive as these platforms may be, it is valuable to originate sure that your employees actually know how to employ these BI platforms so that you can originate sure your investment was worthwhile. There are many ways of approaching this, but using the right online learning platform might live a salubrious site to start looking.

    Given the wide charge scope of these products, you should segment your analytics needs before you originate any buying decision. If you want to start out slowly and inexpensively, then the best route is to try something that offers significant functionality for free, such as Microsoft Power BI. Such tools are very affordable and originate it effortless to accept started. Plus, they minister to bask in large ecosystems of add-ons and partners that can live a cost-effective replacement for doing BI inside a spreadsheet. Tableau Desktop noiseless has the largest collection of charts and visualizations and the biggest partner network, though both IBM Watson Analytics and Microsoft Power BI are catching up fast.

    IBM Watson Analytics scored the highest, and Microsoft Power BI and Tableau Desktop scored the next highest in their roundup. However, total three products received their Editors' preference award. Tableau Desktop may bask in a gigantic charge tag depending on which version you choose but, as previously mentioned, it has an exceptionally large and growing collection of visualizations plus a manageable learning curve if you're willing to consecrate some endeavor to it. Microsoft Power BI and Tableau Desktop too bask in large and growing collections of data connectors, and both Microsoft and Tableau bask in their own sizable communities of users that are vocal about their wants and needs. This can carry a lot of weight with the vendors' evolution teams so it's a salubrious thought to expend some time looking through those community forums to accept an thought where these companies are headed.

  • Pros: Extremely user-friendly. grotesque automatic report generation. Impressive back availability.

    Cons: Automated reports can quickly become defaults. precipitous learning curve that might discombobulate beginners.

    Bottom Line: Zoho Reports is a solid option for generic business users who might not live knowledgeable in analytics software. It's too available at an attractive price.

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  • Pros: Accessible user interface. Smart guidance features. Impressively rapid analytics. Robust natural language querying.

    Cons: Unable to carry out real-time streaming analytics.

    Bottom Line: IBM Watson Analytics is an exceptional business intelligence (BI) app that offers a stalwart analytics engine along with an excellent natural language querying tool. This is one of the best BI platforms you'll find and easily takes their Editors' preference honor.

    Read Review
  • Pros: Extremely powerful platform with a wealth of data source connectors. Very user-friendly. Exceptional data visualization capabilities.

    Cons: Desktop and web versions divide data prep tools. Refresh cycle is limited on free version.

    Bottom Line: Microsoft Power BI earns their Editors' preference homage for its impressive usability, top-notch data visualization capabilities, and superior compatibility with other Microsoft Office products.

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  • Pros: enormous collection of data connectors and visualizations. User-friendly design. Impressive processing engine. mature product with a large community of users.

    Cons: replete mastery of the platform will require substantial training.

    Bottom Line: Tableau Desktop is one of the most mature offerings on the market and that shows in its feature set. While it has a steeper learning curve than other platforms, it's easily one of the best tools in the space.

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  • Pros: Bottlenecks are eliminated thanks to in-chip processing. Impressive natural language query in third-party applications.

    Cons: Might live too difficult for self-service business intelligence (BI). Analytics process noiseless needs to live ironed out. Natural language capability can live limited.

    Bottom Line: Sisense is a complete platform that should live celebrated for experienced BI users. It may drop short for beginners, however.

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  • Pros: Wide scope of connectors. Impressive sharing features. Limitless data storage.

    Cons: User interface is not intuitive. precipitous learning curve. Unwelcoming to original analysts.

    Bottom Line: Domo isn't for newcomers but for companies that already bask in business intelligence (BI) sustain in their organization. Domo's a powerful BI implement with a lot of data connectors and solid data visualization capabilities.

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  • Pros: Exceptional platform for website and mobile app analytics.

    Cons: Customer back has course too much automation. Focus on marketing and advertising can live frustrating to users. Relies mostly on third parties for training.

    Bottom Line: Due to its brand recognition and the fact that it's free, Google Analytics is the biggest name in website and mobile app intelligence. It has a precipitous learning curve but it is an awesome business intelligence tool.

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  • Pros: Designed with generic business users in mind. Solid recrudesce on investment.

    Cons: The data you can employ is limited. Needs additional platform to connect.

    Bottom Line: The Salesforce Einstein Analytics Platform is designed for customer, sales, and marketing analyses, although it can server other needs, too. Its powerful analytics capabilities along with its solid natural language querying functionality and a wide array of partners originate it an attractive offering.

    Read Review
  • Pros: Real-time analytics for Internet of Things (IoT) and streaming data features. Massive ecosystem with plenteous extenders. Responsive pages originate mobile publishing easiest. Impressive storytelling paradigm. Centralized view with consolidated analytics.

    Cons: Data prep features are lacking. Confusing toolbar design. Not friendly for beginners.

    Bottom Line: If your business already uses SAP's HANA database platform or some of its other back-end business platforms, then SAP Analytics Cloud is a powerful, well-priced choice. But live warned that there's a precipitous learning curve and a noted dependence on other SAP products for replete functionality.

    Read Review
  • Pros: Impressive processing engine. Powerful query optimization on SQL. Entirely web-based. complicated queries are handled very well.

    Cons: Poorly designed user interface. precipitous learning curve.

    Bottom Line: Chartio excels at structure a powerful analytics platform that experienced business intelligence (BI) users will appreciate. Those original to BI, however, will find it very difficult to use.

    Read Review
  • Pros: Very deep SQL modeling ability. Uses Git for version management and collaboration.

    Cons: Very expensive. Not for tiny teams.

    Bottom Line: Looker is a worthy self-service business intelligence (BI) implement that can assist unify SQL and gigantic Data management across your enterprise.

    Read Review
  • Pros: Custom access roles. Solid collection of public data online.

    Cons: complicated pricing is a deterrent.

    Bottom Line: Qlik Sense Enterprise Server is a self-service business intelligence (BI) implement that delivers the best collection of user access roles among the BI tools they tested, and too demonstrates a promising start towards integrating Data-as-a-Service (DaaS).

    Read Review
  • Pros: One of the largest collections of data connectors. Many granular access roles.

    Cons: No free ordeal available. Training webinars can live costly.

    Bottom Line: The company's Focus query language is showing its age but Information Builders' self-service business intelligence (BI) implement WebFocus nevertheless has some powerful analysis features.

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  • Pros: Very effortless to accept started. Nice team management and collaboration features.

    Cons: The cloud version has a subset of features create in Windows version. Online documentation could live improved.

    Bottom Line: While Tibco is noiseless making the transition from a desktop to a cloud software vendor, its self-service business intelligence (BI) implement Tibco Spotfire is a worthy course to start visualizing your outdo data.

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  • Pros: Excellent analytical back for Intuit QuickBooks. Very effortless setup.

    Cons: Installation and setup is a bit of chore. No back for Intuit QuickBooks' online versions.

    Bottom Line: Clearify QQube is the best self-service business intelligence (BI) implement for in-depth analysis of your Intuit QuickBooks files, though you'll need to contemplate elsewhere for broader BI tasks.

    Read Review

  • ISC West Daily Report | killexams.com real questions and Pass4sure dumps

    Day one

    On Tuesday, I attended the annual DMP Owners Forum, which is “one the ways they expose their gratitude to their dealers,” Jon Adams, DMP dealer evolution manager, told a latitude replete of DMP’s top 100 dealers.

    This year’s speakers included Major Gen. (Ret.) Vincent Boles, who shared the wisdom he has gained throughout his military career, as well as some of his views on what makes a right leader. Boles gave out his book—4-3-2-1 Leadership: What America’s Sons and Daughters Taught Me on the Road from Second Lieutenant to Two-Star General—to total attendees. The other featured speaker was former Southwest Airlines senior smooth leader, Jason Young, author of the books The Culturetopia outcome and Servicetopia.

    Attendees too erudite how DMP is giving dealers access to original markets through a variety of original platforms, including DMP’s CompanyStore, which enables dealers to participate in the DIY marketplace; Secura, a original high-volume residential dealer program; OnDemand Monitoring, a original revenue generator for dealers to present to consumers that don’t want to badge long term contracts; and original avenues in home automation, including integration with AppleTV, Amazon reflect and Google Home.

    DMP executive management too featured sessions on original technology that will live available this summer, including previews of the DMP’s Gunshot Detector that goes on Existing DMP XR sequence panels and DMP’s original Doorbell Camera, which imprint Hillenburg, DMP’s executive director of marketing, said is “deeply integrated” and will “provide original highly sought after functionality to the existing DMP Virtual Keypad, App and control panel family."

    Jeff Britton, DMP’s VP of product design, too walked attendees through DMP’s Tech App Platform, which was “developed to save time on original installs and service calls and really to liquidate some of the service calls you are having to originate today. The platform will continue to grow because they feel there are a lot of things that your techs should live able to carry out right from their phone or their tablet.”

    Day Two

    On Wednesday, I began my day at Axis Communications’ 10th annual press breakfast. With the theme of “The Magic of IoT,” Fredrik Nilsson, VP Americas, and Martin Gren, founder, who were both dressed as magicians—you gotta savor these guys!—talked about how the company plans to bring the very innovation and “magic” that it brought to camera technology to other products, such as its Network Speakers, which originate up an integrated audio system that is pattern for retail settings. Axis too teamed up with Cognimatics to develop analytic capabilities for its right View People Counter, which is too pattern for retail environments, providing valuable business intelligence data.

    Gren too provided a preview of its newest technology—the AXIS D2050-VE Network Radar Detector, an outdoor motion detector with radar technology that can provide cost-efficient perimeter protection and lessen spurious alarms. The Company is too previewing at ISC West a selection of products that will live launched later this year, including original towering resolution fixed domes in AXIS M30 Series, AXIS P32 Series, and AXIS Q35 Series. Axis too unveiled its AXIS FA sequence with modular cameras for highly discreet, cost-efficient video surveillance, and three original additions to AXIS P13 sequence that present 4K resolution in replete frame rate and that enable coverage of large areas with towering image detail.

    Following the breakfast I headed to the expose floor, which was abuzz with towering traffic and early indicators point to a record year in terms of attendance for this year’s show.

    My first booth visit was at Legrand, a global specialist in electrical and digital structure infrastructures. Manny Linhares, director of strategy, IoT, told me about Eliot, a Legrand global IoT program, that “brings the swear of interoperability, providing the structure blocks and infrastructure to enable IoT and bring connectivity to where it is needed.”

    Moving to the Qolsys showcase room, I was able to test drive the company’s second generation panel, which is sleeker and more powerful with some very frosty original capabilities. Kevin Woodworth, director of technical account management, pointed out that the panel is the culmination of “all of the lessons they erudite from their first panel, and what they erudite from dealer feedback.” The panel has a 7-inch HD touchscreen with built-in 5MP camera and multiple wireless radios, as well as LTE connectivity, advanced encryption, a built-in router, a glass fracture detector, dual path connectivity and Bluetooth disarming, to name just a few of the upgrades.

    Over at the FLIR Systems booth, I was given a demo of the FLIR United VMS 8.0, the latest version of the company’s comprehensive, enterprise-level video management solution for managing video security operations. The company introduced three high-performance security cameras, including the FLIR PT-Series HD thermal and visible camera system, the FLIR Quasar 4K fixed box camera, and the FLIR Ariel 3MP (3-megapixel) corner camera. total three cameras integrate with FLIR United VMS 8.0 and expand the company’s end-to-end line of security solutions. I too got a demo of the company’s Cameleon command and control platform.

    At the Interlogix booth, the company was highlighting TruVision Navigator 7, the latest release of its celebrated video management software. TruVision Navigator 7 now works seamlessly with Interlogix TruPortal access control systems and IFS network switches, allowing conclude users to manage their entire security system from one single, easy-to-use interface.

    This year’s ASSA ABLOY Press Event focused on “Security in the IoT Age,” and Martin Huddart, president, looked at how IoT will impress security. He aptly pointed out, “We are producing data, not products today,” noting that the key as they poke forward as an industry is “bringing total these devices together.”

    Next, I caught up with Denis Hebert, president, Feenics, a provider of cloud-based access control solutions. The company launched its enterprise keep by Feenics platform that delivers scalability, flexibility and advanced security. The original cloud-based access control as service (ACaaS) platform integrates aboriginal visitor management, and incorporates RESTful API that dramatically simplifies integrating complementary systems plus connecting keep to applications outside of the organization. Built specifically for the cloud and hosted by Amazon Web Services, keep significantly minimizes costs through simple, maintenance-free upgrades and patches. 

    At the LifeSafety Power booth, Joe Holland, vice president of engineering, gave me a glimpse into how the company continues to “innovate the category of power,” with original predictive analytics and captious reporting capabilities. The company announced a breakthrough in connecting smart power management analytics to leading software manufacturers directly through undoubted Mercury Security hardware.  “This truly enhances and expands the potential for systems integrators to present remote power management to customers who will profit from predictive analysis and minute reporting on the health and well-being of their solutions,” said Holland.

    I too met with Glen L. Smith, director, dealer operations, ADT, who told me about the worthy strides the ADT Dealer Program has made in the past year alone. In the locality of back for dealers, the company went from a net promoter score of -9 to 76 in just 18 months. How did they carry out this? “We asked their dealers what was broken,” said Smith, who noted that response time was a gigantic issue for dealers. In response to this concern, Smith said they went from a two-hour hold time to a zero hold time in just one year.

    At the Bosch Security Systems booth, the company featured a completely original portfolio of IP cameras and video analytics that extend surveillance beyond security, services that create recurring monthly revenue opportunities for dealers, and an all-in-one wireless multi-sensor that can live configured as a door/window contact, water or tilt sensor. Bosch too introduced In-Store Analytics, a solution to provide retailers with valuable insights on store traffic for improving operations, customer engagement and sales.

    At the Alarm.com booth, Brian Lohse, director, commercial sales, talked about the company’s strategy to select what it has been doing on the residential side and bring that to the SMB space. On the residential side, the company’s open platform continues to expand integrations with a broad scope of devices to assist its dealer partners extend their footprint in the smart home. Alarm.com has too extended 4G LTE communications capabilities.  In addition, Alarm.com highlighted its business Intelligence service that helps its dealer partners lower attrition by analyzing data points.

    Next, I caught up with Jeff Whitney, VP of marketing for Arecont Vision, who went over some of the gigantic announcements for the company at the show, including Arecont Vision SNAPstream bandwidth reduction technology that supports multiple original and existing megapixel cameras; SurroundVideo Omni G3 Omnidirectional multi-sensor cameras with remote setup; Arecont Vision Compact MicroBullet indoor/outdoor, day/night megapixel camera; and Arecont Vision MicroDome G2 with Integrated IR indoor/outdoor day/night ultra-low profile megapixel camera.

    At the Pelco by Schneider Electric booth, Sharad Shekhar, CEO, Pelco SVP, video line of business, and Diane Feliciano, VP, global marketing, spoke about how the company has spent the last 12-18 months “transforming and repositioning the company” for the future. “We bask in been making changes across the entire organization for the last pair of years, from technology developments to original sales, back and operations programming,” said Feliciano. Pelco too showcased several original and enhanced products and systems, including its VideoXpert Video Management System (VMS); Sarix Enhanced IP Cameras with preloaded analytics on every model; ExSite Enhanced Explosion-Proof Cameras; and Optera Panoramic Multi-Sensor Cameras.

    I finished my day with a visit to the Altronix booth, where Kirby Han, expertise director, took me through the company’s latest upgrades and original products, including its original NetWay Spectrum Fiber Solutions, its eBridge 800E EoC Receiver with Integral PoE Switch and its expanded NetWay Line with original managed midspans and endspans.

    Day Three

    I started day three at the Allegion Trends Talk breakfast, where I was able to speak with Rob Martens, futurist and VP, strategy & partnerships, about how the company is leveraging the latest technologies to provide the best solutions for customers. “I am the tip of the spear when it comes to original technology,” he said. “I create the chaos that the company has to deliver on.” Product wise, the company’s Engage platform is expanding to comprise many more products, “so that smooth of connectivity is now getting rolled out and becoming a reality.”

    At the Genetec booth, I spoke with Andrew Elvish, VP, marketing and product management, about the success of the company’s Mission Control system, which he said is “a game changer,” as the determination back system provides organizations with heightened levels of situational intelligence, visualization, and complete incident management capabilities. He too pointed to how the company’s Retail Intelligence application provides business intelligence and operational efficiencies. The company too highlighted the latest capabilities of its Synergis access control system, section of its Security focus unified offering.

    At the AMAG Technology booth, I met company president Kurt Takahashi, and spoke with Kim Rahfaldt, public relations manager. The company unveiled Symmetry CONNECT, its original policy-based identity management system that delivers an effortless to use, automated software platform to manage employee, contractor and visitor identities, fill regulatory audit and compliance requirements and reduce the administrative costs of the security team. When used with Symmetry Access Control, organizations bask in a robust identity management system that utilizes data to secure people, property and assets, and automates business processes for better operational efficiency.

    At the HID Global booth, I spoke with Anthony Petrucci, director of global public relations and corporate communications, about the company’s original indoor Location Services for workforce optimization, which won the SIA original Product Showcase award. The Location Services provide organizations with visibility into the location of their workforce in a facility, making it workable to resolve latitude usage for better structure management and increased operational efficiency. He too spoke about how the company is leveraging Bluetooth low energy (BLE) for original and emerging applications in the connected environment, as well as the role of mobile access, advanced smart card technology and biometrics in the company’s overall strategy.

    At the Milestone booth, I spoke with Courtney Dillon Pederson, communications manager, about the company’s strategic alliance with Lenel, which will open selling Milestone Systems Video Management Software (VMS) solutions directly through the Lenel Value Added Reseller (VAR) channel in North America. “We are really excited about this partnership and believe this is a worthy combination,” she said, noting that this alliance will reduce the total cost of ownership for users.

    I next visited the Eagle Eye Systems/Brivo booth, and sat down with Dean Drako, president and CEO for Eagle Eye, who shared his views on the “continued adoption of cloud.” He too talked about the technology partnership with Hikvision to deliver customers a seamless and cybersecure cloud video surveillance solution. Eagle Eye too highlighted that is has added Camera Cyber Lockdown to total its products, which blocks cameras from communicating with the Internet, stops them from being attacked and compromised. Drako too spoke about the company’s implementation of two-factor authentication, which “will live the benchmark for the industry affecting forward.”

    At the IDIS booth, I was able to sit down with company president and COO Albert Ryu, who shared his views on how the company is poised to leverage technology to provide the customized solutions for customers. He too spoke about how the company, which is celebrating 20 years, is “bringing AI to security.” On the product side, the company featured H.265 IPC/NVR products, including the original IDIS 12MP Super Fisheye Camera. too featured were original low light and long distance solutions, and end-user focused enhancements to the company’s award-winning PTZ tracking controls, IDIS Smart UX Controls v2.0 and retail analytics/business intelligence suite IDIS VA in the Box. The company too highlighted its powerful 64-channel IDIS DR-8364 NVR, which delivers enterprise-level performance at an NVR price. Moving over to the Hanwha Techwin booth, Miguel Lazatin, director of product and channel marketing, North America, walked me through total of the original features and capabilities of the Wisenet 5 chip, which was unveiled recently. The original chip powers the Wisenet X series, a original product line that features 27 models split up between 2MP and 5MP camera lines. Features comprise 150dB WDR performance and limpid images in extreme low light conditions, convenient USB port is too available for effortless setup and installation, as well as license-free audio and video analytics, dual SD card slot for increased onboard storage and image stabilization using gyro sensors. The company too announced that it is investing $100 million to create a security-only manufacturing facility in Vietnam.

    Next, Dahua product marketing manager Jennifer Hackenburg, gave me a tour of the booth, showing me how the company is embracing “deep learning,” pointing out that the company is “ahead of the curve” in leveraging total of the enhanced capabilities that deep learning can provide. The company announced that it is working with NVIDIA to bring artificial intelligence (AI) functionality to its next-generation deep learning products. Equipped with NVIDIA GPUs, the Dahua DeepSense advanced high-capacity video analytics server provides deep learning capabilities. The technology delivers a powerful, scalable manner of extracting moneyed metadata and processing structural data to deliver rapid and accurate analytics. Dahua too announced that Movidius’ Myriad 2 Vision Processing Unit (VPU) technology will power select Dahua video surveillance cameras with advanced intelligence functions that train the devices to gather, analyze, and retain information much relish the human brain.

    I next visited with Jim Hoffpauir, president, Zenitel, at the Vingtor Stentofon booth. He showed me how the company’s Turbine Intercom Station can provide a legion of solutions, in any setting, from schools to airports to military and government applications. He too talked about his dedication to educating customers on how to pick the right system, and he created a scorecard to follow. He noted that it is valuable to bask in three key features—intelligibility, interoperability and the “ilities,” which relates to “high availability, scalability, defensibility and maintainability.”

    At the Tyco-Johnson Controls booth, I spoke with Roger Barlow, senior director, product management, TycoSP about a number of original products across its intrusion, access control and video divisions, and how the company is benefitting from the “synergies between Tyco and Johnson Controls,” he said. He too showed the DSC iotega, the company’s original innovative security and lifestyle management platform. A full-featured security technology, iotega facilitates home automation enhancements and add-ons via software apps. The company too announced its SG System 5 now supports PSTN line cards on the SG-System 5 receiver to give central stations the flexibility to monitor both IP and PSTN warning signals, and how its EntraPass evanesce back for Apple Watch is the “industry’s first Apple Watch mobile credential that allows card holders to employ the watch as a mobile access control credential."

    At the Sureview Sytems booth, Simon Morgan, chief technology officer, gave me a demo SureView PSIM Solutions, which he pointed out, “improve security, optimize operations and reduce costs. He showed me how the Immix CC Platform delivers more integrations, effortless deployment and simple operation. He said SureView Immix CC Simplifies PSIM deployment and operation, featuring “intuitive UI, more integrations and unique architecture, which deliver unprecedented ease of operation and versatility.”

    Next, I visited Ditek, a surge protection company that works closely with the security industry to protect vital systems and rig from being damaged by power surges, saving money in the process. Jorge Andino, province sales engineer, pointed out that the company does this by providing a site survey for each project, giving that customer the right surge protection rig to meet their needs. “Our surge protection rig acts as the sacrificial lamb, preventing costly damage to the equipment.”

    I finished my day speaking with Rick Caruthers, executive VP, Galaxy Control Systems, who told me about the company’s original announcement that is “committing resources and manpower to providing cloud solutions to their customers,” he said. The Galaxy Cloud Concierge solution is a complete turnkey, cloud-based, fully hosted and managed access control and monitoring solution that includes professional 24/7 management and supports industry benchmark access technologies.

    Day Four

    On Friday I started the day at the Morse Watchmans booth speaking with George Lawson, account executive, and Joseph Granitto, COO, about the company’s key control and access management security systems, which are getting smarter and safer with a lot more functionality. “We select feedback from customers to add original features and originate their products easier to use,” said Lawson. In addition to an improved motherboard powering its systems, the company is unveiling a original enterprise-based software system. And its Asset Watcher, which the company tested exhaustively over the past year, is set to approach out soon as well.

    At the Pivot3 booth, I spoke with Brandon Reich, surveillance business leader, about the company’s strategic original rig manufacturer (OEM) relationship with smart Security Systems (ISS), an innovator in the evolution of advanced video management and video analytics software. Under the agreement, ISS will license the Pivot3 hyperconverged infrastructure (HCI) platform and integrate it with ISS video management software (VMS) to supply more robust security intelligence and video storage options to customers. “We are really excited about that partnership,” said Reich. “We can provide a worthy solution set together.”

    At the Eizo booth, I spoke with Keisuke Akiba, product and marketing manager, and Brian Cote, about the company’s security and surveillance monitoring solutions. The IP decoding monitors approach equipped with visibility enhancement technology for improving the clarity of video footage in real time. Akiba demonstrated the multi-monitor flexibility and showed me the 4k IPS 31.5-inch monitor with 3840 x 2160 aboriginal resolution.

    Over at the Boon Edam booth, Tracie Thomas, marketing manager, gave me an overview of the company’s many entry solutions, as well as advice on the company’s expanding sales and customer service staff to back record sales growth. The company too announced the expansion of its product-training schedule, with more programs and locations. And, soon, Boon Edam will present its revolving door specifications on the ARCOM MasterSpec platform, which is widely used by architect and design firms in North America for commercial buildings.

    At the 3xLOGIC booth, Suzi Abell, tradeshow and events manager, shared expose news, including the company’s original integrated, hosted video and access control solution for the SMB market and the company’s partnership with Bold Technologies to present an advanced video solution. The companies recently completed integration of Bold’s ManitouNEO with the 3xLOGIC VIGIL video platform, which supports cloud-managed video. The company too announced the release of a original multi-sensor camera and updated VIGIL software.

    At the Panasonic booth, Charlie Hare, national category manger, security and evidence management solutions, walked me through some of the company’s gigantic announcements at the show, including the company’s expanded portfolio of i-PRO Extreme Surveillance Technology and its original i-PRO Extreme PTZ Camera with Advanced Analytics, as well as its latest video surveillance solutions. The i-PRO features a original chip set that produces “amazing picture quality,” said Hare.

    Over at the ReconaSense booth, Clayton Brown, product manager, described the company’s next-generation situational awareness platform, which provides “the tools to discharge real-time captious analysis,” he said. John Carter, the CTO of ReconaSense, is a former NASA engineer. The software leverages the IoT and gigantic data with access control and video analytics to drive “proactive response” across diverse systems. By connecting the dots and alerting operators of suspicious events, the technology facilitates better decision-making and optimal resource allocation.

    My final booth visit was over at NVIDIA, which was showcasing some of its latest IVA-related, AI technology for smart and safe cities, featuring many partners such as IBM, Hikvision and Dahua. Deepu Talla, VP/GM, autonomous machines, showed me how the company’s GPU computing is not only powering its many partners but “driving the latest applications for safety and security in AI cities,” he said, including public safety, traffic management, deportment analysis, video analytics, anomaly detection, facial recognition, rapid forensics, parking management and robotics.

    NOTE: In addition to daily reports, contemplate for ssnTVnews video interviews from the expose floor, including my video interviews with Bill Bozeman, president and CEO, PSA Security Network; Dan Moceri, executive chairman and founder, and Ken Lochiatto, president and CEO, Convergint Technologies; Maureen Lally, VP of marketing, TycoIS; Richard Tampier, senior director, sales and product strategy, Red Hawk Fire & Security; Craig Layers, senior VP. sales and marketing, ADS Security; and Jon Cropley, principal analyst, video vurveillance, IHS Markit.


    Intel Advances Next side of gigantic Data Intelligence: real Time Analytics | killexams.com real questions and Pass4sure dumps

    Intel® Xeon® Processor E7 v2 Family Delivers Industry’s Most Advanced Technology for In-Memory Analytics to Accelerate Major business Transformations

    NEWS HIGHLIGHTS

  • Introduces original Intel® Xeon® processor E7 v2 family designed for mission captious computing, featuring the industry’s largest reminiscence support1 to enable large data sets to live analyzed rapidly and deliver real-time insights based on a vast amount of diverse data.
  • Delivers up to 80 percent more performance and up to 80 percent lower total cost of ownership (TCO) than alternative RISC architectures2.
  • The original processor family achieves twice the unprejudiced performance and has four times the I/O bandwidth of the previous generation3.
  • SANTA CLARA, Calif., Feb. 18, 2014 – To assist companies in a variety of industries from retail and healthcare to banking and transportation revolve data into actionable insights, Intel Corporation today introduced the Intel® Xeon® processor E7 v2 family.

    Using analytics enables businesses to originate decisions that better top-line and bottom-line results. The Intel Xeon processor E7 v2 family delivers original capabilities to process and resolve large, diverse amounts of data to unlock information that was previously inaccessible.

    “Organizations that leverage data to accelerate business insights will bask in a tremendous edge in this economy,” said Diane Bryant, senior vice president and generic manager of Intel’s Data focus Group. “The advanced performance, reminiscence capacity and reliability of the Intel Xeon processor E7 v2 family enable IT organizations to deliver real-time analysis of large data sets to spot and capitalize on trends, create original services and deliver business efficiency.”

    Big data and the Internet of Things (IoT) are providing enormous opportunities for many organizations to grow as they create revenue-generating services from the information they are able to derive. The gigantic data technology and services market is expected to grow 27 percent annually through 2017 to achieve $32.4 billion4. A leading driver of this growth is the immense amount of data coming from connected devices making up the IoT, which is projected to grow to 30 billion devices by 20205. Investments in the highest performing technologies and analysis solutions can too deliver significant cost savings. For example, Intel’s IT organization expects to achieve cost savings and increased bottom-line revenue of nearly half a billion dollars through employ of analytics solutions by 2016.

    New gigantic Data Processing and Analytics Capabilities with Relentless ReliabilityThe Intel Xeon processor E7 v2 family has triple the reminiscence capacity of the previous generation processor family, allowing much faster and thorough data analysis. In-memory analytics places and analyzes an entire data set – such as an organization’s entire customer database – in the system reminiscence rather than on traditional disk drives. This manner is gaining in popularity due to the increased need for more complicated analytics. Industry analyst solid Gartner expects 35 percent6 of mid- to large-sized companies will adopt in-memory analytics by 2015, up from 10 percent in 2012 and predicts at least 50 percent of Global 2000 companies will employ in-memory computing to deliver significant additional benefits from investments in enterprise resource planning (ERP).

    eBay, one of the world’s largest and most complicated online marketplaces, handles massive data sets of more than 50 petabytes (PB) for more than 100 million users. Based on initial testing of the original Intel Xeon processor E7 v2 and SAP’s HANA* in-memory analytics software, eBay has seen greater performance7 and understanding of larger data sets that will assist drive additional revenue opportunities for its customers.

    Built for up to 32-socket8 servers, with configurations supporting up to 15 processing cores and up to 1.5 terabytes (TB) of reminiscence per socket, the original processor family achieves twice the unprejudiced performance of the previous generation3. These enhancements assist businesses that hasten mission captious applications including business back systems (BSS), customer relationship management (CRM), and ERP to operate more efficiently, at lower cost and with faster response times2. For example, a sales team with these capabilities can maximize revenue by pinpointing the best time to sell a product, or let an oil and gas company better forecast when its platforms require preventative maintenance.

    To reduce data bottlenecks, the Intel Xeon Processor E7 v2 family features Intel® Integrated I/O, Intel® Data Direct I/O and back for PCIe 3.0*, achieving up to four times the I/O bandwidth over the previous generation9 and providing extra capacity for storage and networking connections.

    System uptime and reliability too remains a key requirement for mission captious applications. The Intel Xeon Processor E7 v2 family continues Intel’s tradition of delivering world-class reliability, availability and serviceability (RAS). Intel® hasten sure Technology10 is designed for “five nines” solutions essential for business-critical data by reducing the frequency and cost of planned and unplanned downtime.

    Extensive Industry SupportStarting today, 21 system manufacturers from around the world will advertise more than 40 Intel Xeon processor E7 v2 family-based platforms. These manufacturers comprise Asus*, Bull*, Cisco*, Dell*, EMC*, Fujitsu*, Hitachi*, HP*, Huawei*, IBM*, Inspur*, Lenovo*, NEC*, Oracle*, PowerLeader*, Quanta*, SGI*, Sugon*, Supermicro*, Unisys* and ZTE*. Numerous analytics software vendors too back Xeon processor E7 v2 family-based platforms, including Altibase*, IBM*, Microsoft*, Oracle*, Pivotal*, QlikView*, Red Hat*, SAP*, SAS*, Software AG*, Splunk*, Sungard*, Teradata*, TongTech*, Vertica* and YonYou*.

    Intel is a trademark of Intel Corporation in the United States and other countries.

    Software and workloads used in performance tests may bask in been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products.

    Results bask in been measured by Intel based on software, benchmark or other data of third parties and are provided for informational purposes only. Any dissimilarity in system hardware or software design or configuration may impress actual performance. Intel does not control or audit the design or implementation of third party data referenced in this document. Intel encourages total of its customers to visit the websites of the referenced third parties or other sources to authenticate whether the referenced data is accurate and reflects performance of systems available for purchase.

    The TCO or other cost reduction scenarios described in this document are intended to enable you to accept a better understanding of how the purchase of a given Intel product, combined with a number of situation-specific variables, might impress your future cost and savings. Nothing in this document should live interpreted as either a swear of or condense for a given smooth of costs.

    1 Intel Xeon processor E7 v2 family provides the largest reminiscence footprint of 1.5 TB per socket vs 1TB per socket delivered by alternative architectures, based on published specs.

    2 Up to 80% leadership performance on Xeon E7 v2 over IBM Power* 7+ at ~80% lower TCO title based on Intel estimated SPECint*_rate_base2006 results and pricing of comparable 4-socket rack server using Intel® Xeon® processor E7-4890 v2 (37.5M Cache, 2.8 GHz, 15-Cores) to IBM POWER*750 using POWER7+ (80M Cache, 4.0 GHz, 8-Cores) as of December 2013.

    3 Up to double the unprejudiced generational performance based on results of six key industry-standard workloads: SPECint*_rate_base2006+, SPECfp*_rate _base2006+, brokerage on-line transaction processing (OLTP) database workload, warehouse supply chain OLTP database workload, STREAM reminiscence bandwidth and LINPACK GFLOPS. Configurations: 4-socket server using Intel® Xeon® processor E7-4890 v2 (new processor) vs. E7-4870 (previous generation processor). Learn more about Xeon E7 v2 performance at http://www.intel.com/content/www/us/en/benchmarks/server/xeon-e7-summary.html

    4 Source: IDC WW gigantic Data Technology and Services 2013-2017 Forecast, Doc #244979, Dec 2013

    5 Source: IDC Market Analysis Perspective: Worldwide Enterprise Servers, 2013 — Technology Market, Doc #245080

    6 Source: Gartner “Top Technology Trends, 2013: In-Memory Computing Aims at Mainstream Adoption”

    7 eBay’s test systems configurations are not disclosed but the observed results are consistent with Intel’sinternal measurements from November

    2013 showing 2x performance expand when using SAP HANA based on these configurations:

    Baseline 1.0x: Intel E7505 Chipset using four Intel Xeon processors E7-4870 (4P/10C/20T, 2.4GHz) with 256GB DDR3-1066 reminiscence scoring

    110,061 queries per hour. Source: Intel Technical Report #1347.

    New Generation 2x: Intel C606J Chipset using four Intel Xeon processors E7-4890 v2 (4P/15C/30T, 2.8GHz) with 512GB DDR3-1333 (running

    2:1 VMSE) reminiscence scoring 218,406 queries per hour. Source: Intel Technical Report #1347.

    8 Requires node controller (available from 3rd party sources).

    9 Up to 4X I/O bandwidth title is based on Intel estimates on an internal bandwidth implement running the 1R1W test of the Intel Xeon processor E7-4890 v2 performance normalized against the improvements over dual-IOH Intel Xeon processor E7-4870.

    10. No computer system can provide absolute reliability, availability or serviceability. Requires an Intel® Xeon® processor E7-8800/4800/2800 v2 product families or Intel® Itanium® 9500 series-based system (or follow-on generations of either). Built-in reliability features available on select Intel® processors may require additional software, hardware, services and/or an internet connection. Results may vary depending upon configuration. Consult your system manufacturer for more details.



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