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C2090-317 DB2 11 System Administrator for z/OS

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C2090-317 exam Dumps Source : DB2 11 System Administrator for z/OS

Test Code : C2090-317
Test designation : DB2 11 System Administrator for z/OS
Vendor designation : IBM
: 60 actual Questions

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IBM DB2 11 System Administrator

Senior Database Administrator (DBA) with IBM DB2 potential salary | killexams.com actual Questions and Pass4sure dumps

The typical pay for a Senior Database Administrator (DBA) with IBM DB2 learning is $63.88 per hour.

The medium pay for a Senior Database Administrator (DBA) with IBM DB2 skills is $107,601 per yr.

profits $eighty two,834 - $133,887 Bonus $2,500 - $17,237 profit Sharing $6,000 complete Pay (? XTotal Pay combines groundwork annual income or hourly wage, bonuses, profit sharing, advice, commissions, additional time pay and different styles of cash income, as applicable for this job. It does not comprehend fairness (inventory) compensation, cash cost of retirement advantages, or the cost of other non-money merits (e.g. healthcare). ) $84,452 - $141,261 Hourly price $sixty three.88 beyond regular time $forty four.forty nine Bonus $2,500 - $17,237 profit Sharing $6,000 complete Pay (? XTotal Pay combines groundwork annual salary or hourly wage, bonuses, earnings sharing, information, commissions, additional time pay and other forms of cash salary, as applicable for this job. It doesn't consist of equity (stock) compensation, money value of retirement benefits, or the value of other non-money merits (e.g. healthcare). ) $84,452 - $141,261 Job Description for Senior Database Administrator (DBA)

Senior database directors drudgery as team leaders with computer engineering groups in an endeavor to create database structure to accomplish the censorious goals of specialized computing device utility. Senior database directors beget very clear tutorial dreams: they want a bachelor's degree in laptop science or in similar fields. they'll additionally need certification for database administration from an accepted board, similar to Oracle. it's viable to forgo buying a bachelor's degree, but senior database directors will require a number of years of labor in an identical areas as well as wide self-training on database administration.

examine extra...

Senior database directors need to know a few programming languages in an endeavor to accomplish their desires. they're going to likewise need mighty communique learning in order to delegate drudgery dreams and facilitate the introduction and implementation of databases.

Senior database directors oversee the renovation, configuration, and implementation of every shrimp thing that has to achieve with databases. This contains the replication, backup, storage, entry and partitioning of databases. smooth and efficient installations, configurations, troubleshooting, and protection of database methods additionally Fall onto the senior database administrator. when they aren't installation or protecting new database systems, senior database administrators need to video pomp and optimize their existing systems to acquire positive fine gear efficiency. They try this by route of utilizing index tuning, disk optimization, and various other methods which are applicable. inside the confines of the database, senior database administrators beget to additionally verify who may quiet beget what permissions and privileges in the gadget to define who can access and wield what information. (Copyright 2019 PayScale.com)

Senior Database Administrator (DBA) projects

  • Design, architect, and construct databases from making a option on company requirements.
  • Write and troubleshoot complicated stored processes.
  • enhance innovation, thoughts, processes, and most desirable practices.
  • manage and mentor minuscule group of DBAs.
  • Work carefully with programming team of workers on database design alterations to fill enterprise requirements.
  • Pay via suffer degree for Senior Database Administrator (DBA)

    Pay by adventure for a Senior Database Administrator (DBA) has a positive vogue. An entry-level Senior Database Administrator (DBA) with lower than 5 years of journey can hope to deserve a typical complete compensation of $89,000 in response to 11 salaries supplied by nameless clients. normal total compensation contains counsel, bonus, and overtime pay. A Senior Database Administrator (DBA) with mid-career adventure which contains personnel with 5 to 10 years of journey can hope to deserve a typical total compensation of $112,000 according to 30 salaries. An skilled Senior Database Administrator (DBA) which contains employees with 10 to 20 years of suffer can are expecting to deserve a regular total compensation of $a hundred and fifteen,000 according to sixty seven salaries. A Senior Database Administrator (DBA) with late-career event which includes personnel with more desirable than twenty years of journey can call to deserve a typical total compensation of $117,000 in keeping with 29 salaries.


    IBM Db2 question Optimization using AI | killexams.com actual Questions and Pass4sure dumps

    In September 2018, IBM announced a brand new product, IBM Db2 AI for z/OS. This synthetic intelligence engine screens information access patterns from executing SQL statements, makes exhaust of machine learning algorithms to opt for most advantageous patterns and passes this assistance to the Db2 query optimizer for exhaust via subsequent statements.

    desktop learning on the IBM z Platform

    In may of 2018, IBM introduced version 1.2 of its computer researching for z/OS (MLz) product. here is a hybrid zServer and cloud application suite that ingests performance facts, analyzes and builds fashions that represent the health fame of a lot of warning signs, monitors them over time and offers real-time scoring capabilities.

    a few features of this product offering are aimed toward aiding a community of model builders and managers. as an example:

  • It supports assorted programming languages comparable to Python, Scala and R. This allows for statistics modelers and scientists to exhaust a language with which they're common;
  • A graphical user interface known as the visual mannequin Builder guides model builders with out requiring incredibly-technical programming advantage;
  • It contains distinctive dashboards for monitoring mannequin outcomes and scoring services, as well as controlling the gear configuration.
  • This computer researching suite became initially aimed at zServer-based analytics applications. some of the first glaring decisions became zSystem efficiency monitoring and tuning. system management Facility (SMF) records which are instantly generated via the operating device deliver the uncooked records for device useful resource consumption corresponding to material processor utilization, I/O processing, memory paging etc. IBM MLz can assemble and reclaim these records over time, and build and discipline models of device behavior, rating these behaviors, determine patterns no longer with no pain foreseen by humans, boost key efficiency warning signs (KPIs) after which feed the mannequin outcomes again into the gadget to move system configuration adjustments that can ameliorate efficiency.

    The subsequent step changed into to build in obligate this suite to investigate Db2 performance records. One solution, called the IBM Db2 IT Operational Analytics (Db2 ITOA) respond template, applies the computer discovering technology to Db2 operational facts to capitalize an knowing of Db2 subsystem health. it might probably dynamically build baselines for key efficiency indicators, give a dashboard of these KPIs and give operational personnel true-time perception into Db2 operations.

    while widespread Db2 subsystem efficiency is a vital factor in universal application health and performance, IBM estimates that the DBA aid body of workers spends 25% or more of its time, " ... combating entry direction complications which cause efficiency degradation and repair impact.". (See Reference 1).

    AI comes to Db2

    believe the plight of modern DBAs in a Db2 atmosphere. In state-of-the-art IT world they must assist one or more mountainous facts applications, cloud application and database services, software installation and configuration, Db2 subsystem and application efficiency tuning, database definition and management, catastrophe healing planning, and extra. question tuning has been in actuality considering the fact that the origins of the database, and DBAs are always tasked with this as smartly.

    The heart of question route evaluation in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to access the information, studies the places of the objects to subsist accessed and develops a listing of candidate facts entry paths. These entry paths can encompass indexes, table scans, numerous desk subsist piece of methods and others. within the information warehouse and massive information environments there are always extra decisions available. One of those is the actuality of summary tables (occasionally called materialized query tables) that comprise pre-summarized or aggregated statistics, therefore allowing Db2 to wait away from re-aggregation processing. an extra alternative is the starjoin access path, standard within the data warehouse, where the order of desk joins is changed for performance motives.

    The Optimizer then reviews the candidate entry paths and chooses the access course, "with the lowest cost." charge in this context means a weighted summation of useful resource utilization including CPU, I/O, reminiscence and other supplies. at last, the Optimizer takes the lowest charge access course, retailers it in reminiscence (and, optionally, in the Db2 directory) and begins entry path execution.

    big statistics and records warehouse operations now comprehend application suites that enable the company analyst to acquire exhaust of a graphical interface to build and manipulate a miniature records model of the information they wish to analyze. The programs then generate SQL statements in accordance with the clients’ requests.

    The problem for the DBA

    with a view to achieve first rate analytics in your numerous records shops you want an excellent knowing of the information requirements, an realizing of the analytical features and algorithms purchasable and a high-performance facts infrastructure. lamentably, the quantity and placement of information sources is expanding (each in dimension and in geography), records sizes are starting to be, and applications proceed to proliferate in quantity and complexity. How may quiet IT managers support this environment, notably with essentially the most experienced and mature personnel nearing retirement?

    have in mind additionally that a mountainous a piece of reducing the total cost of ownership of those programs is to pick up Db2 purposes to dash sooner and greater effectively. This constantly interprets into using fewer CPU cycles, doing fewer I/Os and transporting less information across the network. on account that it is commonly tricky to even determine which functions may handicap from efficiency tuning, one mode is to automate the detection and correction of tuning issues. this is the Place laptop learning and synthetic intelligence may likewise subsist used to remarkable impact.

    Db2 12 for z/OS and simulated Intelligence

    Db2 edition 12 on z/OS makes exhaust of the computer discovering facilities outlined above to accumulate and shop SQL query text and access direction details, in addition to actual performance-linked historic assistance corresponding to CPU time used, elapsed times and result set sizes. This offering, described as Db2 AI for z/OS, analyzes and shops the facts in laptop learning models, with the model analysis consequences then being scored and made obtainable to the Db2 Optimizer. The next time a scored SQL observation is encountered, the Optimizer can then exhaust the model scoring records as input to its access route alternative algorithm.

    The result may quiet subsist a reduction in CPU consumption because the Optimizer uses model scoring enter to pick more advantageous access paths. This then lowers CPU costs and speeds software response times. a significant talents is that the usage of AI utility doesn't require the DBA to beget records science capabilities or deep insights into query tuning methodologies. The Optimizer now chooses the ultimate access paths based not only on SQL question syntax and facts distribution statistics but on modelled and scored historic efficiency.

    This may likewise subsist primarily essential in case you store information in dissimilar places. for example, many analytical queries against great data require concurrent access to Definite facts warehouse tables. These tables are commonly known as dimension tables, and they accommodate the statistics features usually used to manage subsetting and aggregation. as an example, in a retail atmosphere believe a desk known as StoreLocation that enumerates each store and its location code. Queries in opposition t support income facts may additionally need to combination or summarize sales by using vicinity; hence, the StoreLocation desk may subsist used via some great facts queries. during this atmosphere it's standard to acquire the dimension tables and duplicate them always to the great records application. within the IBM world this locality is the IBM Db2 Analytics Accelerator (IDAA).

    Now umpire about SQL queries from each operational purposes, information warehouse users and massive statistics business analysts. From Db2's standpoint, everything these queries are equal, and are forwarded to the Optimizer. although, within the case of operational queries and warehouse queries they may quiet without doubt subsist directed to access the StoreLocation table in the warehouse. nevertheless, the query from the business analyst towards mountainous information tables should probably access the copy of the table there. This effects in a proliferations of potential access paths, and extra drudgery for the Optimizer. fortuitously, Db2 AI for z/OS can deliver the Optimizer the information it needs to acquire sage entry path choices.

    the route it Works

    The sequence of hobbies in Db2 AI for z/OS (See Reference 2) is generally prerogative here:

  • all the route through a bind, rebind, build together or elaborate operation, an SQL observation is handed to the Optimizer;
  • The Optimizer chooses the records entry path; because the alternative is made, Db2 AI captures the SQL syntax, access route alternative and question efficiency information (CPU used, and so on.) and passes it to a "learning project";
  • The researching task, which will likewise subsist done on a zIIP processor (a non-familiar-aim CPU core that does not component into software licensing fees), interfaces with the computing device researching utility (MLz mannequin services) to reclaim this counsel in a model;
  • as the quantity of records in every mannequin grows, the MLz Scoring carrier (which likewise can subsist completed on a zIIP processor) analyzes the model information and rankings the behavior;
  • all over the next bind, rebind, prepare or explain, the Optimizer now has access to the scoring for SQL fashions, and makes arrogate adjustments to access course selections.
  • There are additionally quite a lot of person interfaces that give the administrator visibility to the popularity of the gathered SQL statement efficiency statistics and model scoring.

    abstract

    IBM's computer discovering for zOS (MLz) offering is getting used to splendid sequel in Db2 edition 12 to enhance the performance of analytical queries as well as operational queries and their associated functions. This requires administration attention, as you ought to examine that your business is prepared to devour these ML and AI conclusions. How will you measure the expenses and advantages of the exhaust of laptop researching? Which IT support team of workers must subsist tasked to reviewing the sequel of model scoring, and perhaps approving (or overriding) the effects? How will you evaluate and justify the assumptions that the utility makes about entry course choices?

    In different phrases, how neatly were you cognizant your information, its distribution, its integrity and your present and proposed entry paths? this can check where the DBAs expend their time in supporting analytics and operational utility efficiency.

    # # #

    Reference 1

    John Campbell, IBM Db2 exotic EngineerFrom "IBM Db2 AI for z/OS: raise IBM Db2 application efficiency with machine getting to know"https://www.worldofdb2.com/routine/ibm-db2-ai-for-z-os-increase-ibm-db2-application-performance-with-ma

    Reference 2

    Db2 AI for z/OShttps://www.ibm.com/help/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html

    See everything articles through Lockwood Lyon


    CA technologies offers clients same-Day support for IBM DB2 v11 for z/OS for superior Database management | killexams.com actual Questions and Pass4sure dumps

    ISLANDIA, N.Y., Oct 01, 2013 (business WIRE) -- CA technologies CA, -5.66% nowadays introduced "Day One" support for IBM DB2 v11 for z/OS.

    clients who beget build in CA Database administration options for DB2 for z/OS edition 17.0 (DB2 tools 17.0), a collection of interoperable solutions to enhance database administration, are in a position to acquire competencies of the capabilities of IBM DB2 v11 to raise efficiency and reliability of records backup and recuperation, and obtain higher service tiers, statistics availability and utility responsiveness.

    this is censorious to international banks and other gigantic businesses that depend on the mainframe as a cornerstone of the synchronous IT atmosphere. for a lot of organizations it is vital to remain present with the latest capabilities of IBM gear z, essentially the most superior industrial desktop available. gear z combines inordinate pace and at ease transaction processing with state-of-the-artwork application amenities, integrated analytics and cloud computing, and is imperative to keeping organizations up and operating 24/7.

    "Our day-one assist is an instance of their unwavering commitment to aiding IBM gear z developments," mentioned Michael Madden, widely wide-spread supervisor, Mainframe, CA technologies. "As IBM increases the cost of its choices to customers with DB2, they realize the need to subsist in lock-step with them so their valued clientele can gleam the complete advantages."

    With every IBM DB2 liberate, CA applied sciences continues shoppers up to date, maximizing the value of their IT investments. here is essential to creating customers' statistics centers dynamic, so that you can reply prerogative away to enterprise wants.

    "IBM DB2 v11, along with CA Database management for DB2 for z/OS, is a noteworthy respond which provides us with the assist they should acquire positive their DB2 databases supply their consumers with the most efficient stage of provider feasible," pointed out Berend Hagedorn, database administrator at GAD eG, a Munster, Germany-based business focusing on banking IT.

    with the purpose to obtain equal-day guide, CA technologies has demonstrated many products and add-ons on behalf of purchasers and IBM. This funding in evolution and checking out underscores the company's commitment to its valued clientele and its partnership with IBM.

    one of the most essential DB2 11 elements supported through CA applied sciences is prolonged Logging, which is designed to reduce the desultory of outages, therefore helping clients to achieve larger availability of their IT capabilities.

    IBM DB2 v11 is one in everything many IBM options that CA technologies helps to aid customers manipulate IBM gadget z. CA applied sciences is a leading unbiased software seller (ISV) for IBM system z and its operating device, z/OS. On Sept. 30 CA technologies introduced equal-day support for IBM z/OS 2.1.

    For more information on the huge portfolio of CA technologies, the main ISV innovating on the mainframe, search advice from: http://www.ca.com/us/mainframe.aspx.

    For extra counsel on same-day assist, gratify contend with the Mainframe Voice blog. For extra information on the extensive portfolio of inventive mainframe items from CA technologies, search advice from http://www.ca.com/us/mainframe.aspx.

    About CA technologies

    CA applied sciences CA, -5.sixty six% provides IT administration solutions that support valued clientele manipulate and comfy complicated IT environments to support agile company functions. companies leverage CA technologies software and SaaS options to quicken up innovation, seriously change infrastructure and cozy statistics and identities, from the records core to the cloud. subsist trained greater about CA technologies at www.ca.com.

    observe CA technologies

    -- Twitter

    -- gregarious Media web page

    -- Press Releases

    -- Mainframe Voice weblog

    felony Notices

    Copyright (C) 2013 CA. everything Rights Reserved. One CA Plaza, Islandia, N.Y. 11749. everything different emblems, alternate names, service marks, and logos referenced herein belong to their respective agencies.

    source: CA technologies

    CA applied sciences Alice Horrigan, 203-727-4740 alice.horrigan@ca.com

    Copyright company Wire 2013


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    DB2 11 System Administrator for z/OS

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    Thinking About Migrating to Version 11 of DB2 for z/OS? | killexams.com actual questions and Pass4sure dumps

    Dec 4, 2013

    Craig S. Mullins

    Version 11 of DB2 for z/OS was released for universal availability on Oct. 25, 2013. Even if your company won’t subsist migrating prerogative away, it is sage to start learning about the new functionality it offers. So let’s acquire a quick glance at some of the highlights of this latest and greatest version of DB2.

    Performance Claims in DB2

    As is normal with a new version of DB2, IBM boasts of performance improvements available in DB2 11. The claims compass from out-of-the-box savings ranging from 10% to 40% for different types of query workloads. Your actual savings will vary depending upon things relish the query itself, number of columns requests, number of partitions, indexing, and the like. The standard operating procedure of rebinding to achieve the best results quiet applies. And, of course, if you exhaust the new features of DB2 11 IBM claims that you can achieve even better performance.

    DB2 11 likewise offers improved synergy with the latest mainframe hardware, the zEC12. For example, flash Express and pageable 1MB frames are used for buffer pool control blocks and DB2 executable code. So support in mind that getting to the latest hardware can support out your DB2 performance and operation!

    Programmer Features in DB2

    In terms of new functionality for developers, DB2 11 offers global variables (for passing data from program to program), improved SQLPL functionality, Alias support for sequence objects, improvements to Declared Global Temporary Tables (DGTTs), views on temporal data, XML improvements (including XQuery support), and a SQL Compatibility feature which can subsist used to minimize the repercussion of new version changes on existing applications.

    There is likewise the new APREUSE(WARN) BIND option, which causes DB2 to try to reuse previous access paths for SQL statements, but does not forestall the bind (or rebind) when access paths cannot subsist reused.

    DBA Features in DB2

    DB2 11 likewise offers many new in-depth technical and DBA-related features too. Probably the most important, and one that impacts developers too, is transparent archiving using DB2’s temporal capabilities. If you understand the DB2 10 temporal capabilities, setting up transparent archiving is very similar.

    Another notable feature that will interest many DBAs is the competence to exhaust SQL to query more DB2 Directory tables. And the IBM DB2 Utilities are enhanced with better performance and improved capabilities. For example, REORG offers additional automation, RUNSTATS and LOAD offload more drudgery to zIIP processors, REPAIR offers a new DB2 Catalog repair capability, and DSNACCOX delivers improved performance.

    DB2 11 likewise delivers improved online schema change functionality, including the long-awaited DROP COLUMN capability, which can subsist used to immaculate up unused columns in DB2 tables. Additionally, DB2 11 online schema change supports online altering of restrict keys, which enables DBAs to change the restrict keys for a partitioned table space without impacting data availability. And DB2 11 likewise removes some earlier administrative restrictions on administering tables with pending changes.

    Other new DBA capabilities comprehend better control over externalizing actual Time Statistics, better coordination between DB2 and RACF, improved capabilities for column MASKs and PERMISSIONs, 2GB frame size for very great buffer pools, and faster CASTOUT and improved RESTART LIGHT capability for Data Sharing environments.

    Analytics and mountainous Data Features in DB2

    DB2 11 likewise boasts new features for supporting mountainous data and analytical processing. Probably the biggest is the competence to support Hadoop access. DB2 11 can subsist used to enable applications to easily and efficiently access Hadoop data sources using the generic table UDF capability to create a variable shape of UDF output table. Doing so allows access to BigInsights, which is IBM’s Hadoop-based platform for mountainous data. As such, you can exhaust JSON to access Hadoop data via DB2 using the UDF supplied by IBM BigInsights.

    DB2 11 likewise adds new SQL analytical extensions, including GROUPING SETS, ROLLUP, and CUBE. And a new version (V3) of IBM DB2 Analytics Accelerator (IDAA) is piece of the amalgamate too. IDAA V3 brings about improvements such as 1.3 PB of data storage, Change Data Capture support to capture changes to DB2 data and propagate them to IDAA as they happen, additional SQL functions for IDAA queries, and drudgery Load Manager integration.

    Take Some Time to Learn What DB2 11 Can Do

    DB2 11 for z/OS brings with it a bevy of spicy and useful new features. They compass the gamut from evolution to admin­istration to performance to integration with mountainous data. Now that DB2 11 is out in the realm and available for organizations to start using it, the time has near for everything DB2 users to acquire some time to learn what DB2 11 can do. 

    Craig S. Mullins, president and principal consultant with Mullins ?Consulting, Inc., has more than 2 decades of suffer in everything facets of data management and database systems development. You can compass him via his website at www.craigsmullins.com.


    CA Technologies Offers Customers Same-Day support for IBM DB2 v11 for z/OS for Improved Database Man | killexams.com actual questions and Pass4sure dumps

    CA Technologies Offers Customers Same-Day support for IBM DB2 v11 for z/OS for Improved Database Management

    Company Committed to Supporting IBM Advancements in Widely Installed DB2 Solutions to Boost IT Availability, Service Levels and Efficiency

    ISLANDIA, N.Y.--(BUSINESS WIRE)-- CA Technologies (NAS: CA) today announced "Day One" support for IBM DB2 v11 for z/OS.

    Customers who beget installed CA Database Management Solutions for DB2 for z/OS version 17.0 (DB2 Tools 17.0), a suite of interoperable solutions to ameliorate database administration, are able to acquire handicap of the capabilities of IBM DB2 v11 to boost efficiency and reliability of data backup and recovery, and achieve higher service levels, data availability and application responsiveness.

    This is vital to global banks and other great companies that depend on the mainframe as a cornerstone of the modern IT environment. For many companies it is vital to remain current with the latest capabilities of IBM System z, the most advanced commercial computer available. System z combines high quicken and secure transaction processing with state-of-the-art application facilities, integrated analytics and cloud computing, and is central to keeping businesses up and running 24/7.

    "Our day-one support is an illustration of their unwavering commitment to supporting IBM System z advancements," said Michael Madden, universal manager, Mainframe, CA Technologies. "As IBM increases the value of its offerings to customers with DB2, they realize the need to subsist in lock-step with them so their customers can gleam the complete benefits."

    With each IBM DB2 release, CA Technologies keeps customers up to date, maximizing the value of their IT investments. This is censorious to making customers' data centers dynamic, so they can respond quickly to business needs.

    "IBM DB2 v11, along with CA Database Management for DB2 for z/OS, is a solid solution which provides us with the support they need to subsist positive their DB2 databases provide their customers with the greatest plane of service possible," said Berend Hagedorn, database administrator at GAD eG, a Münster, Germany-based company specializing in banking IT.

    In order to achieve same-day support, CA Technologies has tested many products and components on behalf of customers and IBM. This investment in evolution and testing underscores the company's commitment to its customers and its partnership with IBM.

    One of the most vital DB2 11 features supported by CA Technologies is Extended Logging, which is designed to reduce the risk of outages, therefore helping customers to achieve higher availability of their IT services.

    IBM DB2 v11 is one of many IBM solutions that CA Technologies supports to support customers manage IBM System z. CA Technologies is a leading independent software vendor (ISV) for IBM System z and its operating system, z/OS. On Sept. 30 CA Technologies announced same-day support for IBM z/OS 2.1.

    For more information on the broad portfolio of CA Technologies, the leading ISV innovating on the mainframe, visit: http://www.ca.com/us/mainframe.aspx.

    For more information on same-day support, gratify visit the Mainframe Voice blog. For more information on the extensive portfolio of innovative mainframe products from CA Technologies, visit http://www.ca.com/us/mainframe.aspx.

    About CA Technologies

    CA Technologies (NAS: CA) provides IT management solutions that support customers manage and secure complicated IT environments to support agile business services. Organizations leverage CA Technologies software and SaaS solutions to accelerate innovation, transform infrastructure and secure data and identities, from the data heart to the cloud. Learn more about CA Technologies at www.ca.com.

    Follow CA Technologies

    Legal Notices

    Copyright © 2013 CA. everything Rights Reserved. One CA Plaza, Islandia, N.Y. 11749. everything other trademarks, trade names, service marks, and logos referenced herein belong to their respective companies.

    CA TechnologiesAlice Horrigan, 203-727-4740alice.horrigan@ca.com

    KEYWORDS:   United States  North America  New York

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    IBM Db2 Query Optimization Using AI | killexams.com actual questions and Pass4sure dumps

    In September 2018, IBM announced a new product, IBM Db2 AI for z/OS. This simulated intelligence engine monitors data access patterns from executing SQL statements, uses machine learning algorithms to settle on optimal patterns and passes this information to the Db2 query optimizer for exhaust by subsequent statements.

    Machine Learning on the IBM z Platform

    In May of 2018, IBM announced version 1.2 of its Machine Learning for z/OS (MLz) product. This is a hybrid zServer and cloud software suite that ingests performance data, analyzes and builds models that represent the health status of various indicators, monitors them over time and provides real-time scoring capabilities.

    Several features of this product offering are aimed at supporting a community of model developers and managers. For example:

  • It supports multiple programming languages such as Python, Scala and R. This allows data modelers and scientists to exhaust a language with which they are familiar;
  • A graphical user interface called the Visual Model Builder guides model developers without requiring highly-technical programming skills;
  • It includes multiple dashboards for monitoring model results and scoring services, as well as controlling the system configuration.
  • This machine learning suite was initially aimed at zServer-based analytics applications. One of the first obvious choices was zSystem performance monitoring and tuning. System Management Facility (SMF) records that are automatically generated by the operating system provide the raw data for system resource consumption such as central processor usage, I/O processing, memory paging and the like. IBM MLz can collect and store these data over time, and build and train models of system behavior, score those behaviors, identify patterns not readily foreseen by humans, develop key performance indicators (KPIs) and then feed the model results back into the system to move system configuration changes that can ameliorate performance.

    The next step was to implement this suite to dissect Db2 performance data. One solution, called the IBM Db2 IT Operational Analytics (Db2 ITOA) solution template, applies the machine learning technology to Db2 operational data to gain an understanding of Db2 subsystem health. It can dynamically build baselines for key performance indicators, provide a dashboard of these KPIs and give operational staff real-time insight into Db2 operations.

    While universal Db2 subsystem performance is an vital factor in overall application health and performance, IBM estimates that the DBA support staff spends 25% or more of its time, " ... fighting access path problems which cause performance degradation and service impact.". (See Reference 1).

    AI Comes to Db2

    Consider the plight of modern DBAs in a Db2 environment. In today's IT world they must support one or more mountainous data applications, cloud application and database services, software installation and configuration, Db2 subsystem and application performance tuning, database definition and management, cataclysm recovery planning, and more. Query tuning has been in actuality since the origins of the database, and DBAs are usually tasked with this as well.

    The heart of query path analysis in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to access the data, reviews the locations of the objects to subsist accessed and develops a list of candidate data access paths. These access paths can comprehend indexes, table scans, various table combine methods and others. In the data warehouse and mountainous data environments there are usually additional choices available. One of these is the actuality of summary tables (sometimes called materialized query tables) that accommodate pre-summarized or aggregated data, thus allowing Db2 to avoid re-aggregation processing. Another option is the starjoin access path, common in the data warehouse, where the order of table joins is changed for performance reasons.

    The Optimizer then reviews the candidate access paths and chooses the access path, "with the lowest cost." Cost in this context means a weighted summation of resource usage including CPU, I/O, memory and other resources. Finally, the Optimizer takes the lowest cost access path, stores it in memory (and, optionally, in the Db2 Directory) and begins access path execution.

    Big data and data warehouse operations now comprehend software suites that allow the business analyst to exhaust a graphical interface to build and manipulate a miniature data model of the data they wish to analyze. The packages then generate SQL statements based on the users’ requests.

    The Problem for the DBA

    In order to achieve benign analytics on your multiple data stores you need a benign understanding of the data requirements, an understanding of the analytical functions and algorithms available and a high-performance data infrastructure. Regrettably, the number and location of data sources is expanding (both in size and in geography), data sizes are growing, and applications continue to proliferate in number and complexity. How should IT managers support this environment, especially with the most experienced and mature staff nearing retirement?

    Understand likewise that a great piece of reducing the total cost of ownership of these systems is to pick up Db2 applications to dash faster and more efficiently. This usually translates into using fewer CPU cycles, doing fewer I/Os and transporting less data across the network. Since it is often difficult to even identify which applications could capitalize from performance tuning, one approach is to automate the detection and correction of tuning issues. This is where machine learning and simulated intelligence can subsist used to noteworthy effect.

    Db2 12 for z/OS and simulated Intelligence

    Db2 version 12 on z/OS uses the machine learning facilities mentioned above to amass and store SQL query text and access path details, as well as actual performance-related historical information such as CPU time used, elapsed times and result set sizes. This offering, described as Db2 AI for z/OS, analyzes and stores the data in machine learning models, with the model analysis results then being scored and made available to the Db2 Optimizer. The next time a scored SQL statement is encountered, the Optimizer can then exhaust the model scoring data as input to its access path option algorithm.

    The result should subsist a reduction in CPU consumption as the Optimizer uses model scoring input to pick better access paths. This then lowers CPU costs and speeds application response times. A significant handicap is that using AI software does not require the DBA to beget data science skills or deep insights into query tuning methodologies. The Optimizer now chooses the best access paths based not only on SQL query syntax and data distribution statistics but on modelled and scored historical performance.

    This can subsist particularly vital if you store data in multiple places. For example, many analytical queries against mountainous data require concurrent access to positive data warehouse tables. These tables are commonly called dimension tables, and they accommodate the data elements usually used to control subsetting and aggregation. For example, in a retail environment consider a table called StoreLocation that enumerates every store and its location code. Queries against store sales data may wish to aggregate or summarize sales by Location; hence, the StoreLocation table will subsist used by some mountainous data queries. In this environment it is common to acquire the dimension tables and copy them regularly to the mountainous data application. In the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now umpire about SQL queries from both operational applications, data warehouse users and mountainous data business analysts. From Db2's perspective, everything these queries are equal, and are forwarded to the Optimizer. However, in the case of operational queries and warehouse queries they should most likely subsist directed to access the StoreLocation table in the warehouse. On the other hand, the query from the business analyst against mountainous data tables should probably access the copy of the table there. This results in a proliferations of potential access paths, and more drudgery for the Optimizer. Luckily, Db2 AI for z/OS can provide the Optimizer the information it needs to acquire smart access path selections.

    How It Works

    The sequence of events in Db2 AI for z/OS (See Reference 2) is generally the following:

  • During a bind, rebind, prepare or elaborate operation, an SQL statement is passed to the Optimizer;
  • The Optimizer chooses the data access path; as the option is made, Db2 AI captures the SQL syntax, access path option and query performance statistics (CPU used, etc.) and passes it to a "learning task";
  • The learning task, which can subsist executed on a zIIP processor (a non-general-purpose CPU core that does not factor into software licensing charges), interfaces with the machine learning software (MLz Model Services) to store this information in a model;
  • As the amount of data in each model grows, the MLz Scoring Service (which likewise can subsist executed on a zIIP processor) analyzes the model data and scores the behavior;
  • During the next bind, rebind, prepare or explain, the Optimizer now has access to the scoring for SQL models, and makes arrogate changes to access path choices.
  • There are likewise various user interfaces that give the administrator visibility to the status of the accumulated SQL statement performance data and model scoring.

    Summary

    IBM's machine learning for zOS (MLz) offering is being used to noteworthy sequel in Db2 version 12 to ameliorate the performance of analytical queries as well as operational queries and their associated applications. This requires management attention, as you must verify that your business is prepared to consume these ML and AI conclusions. How will you measure the costs and benefits of using machine learning? Which IT support staff must subsist tasked to reviewing the result of model scoring, and perhaps approving (or overriding) the results? How will you review and justify the assumptions that the software makes about access path choices?

    In other words, how well achieve you know your data, its distribution, its integrity and your current and proposed access paths? This will determine where the DBAs expend their time in supporting analytics and operational application performance.

    # # #

    Reference 1

    John Campbell, IBM Db2 Distinguished EngineerFrom "IBM Db2 AI for z/OS: Boost IBM Db2 application performance with machine learning"https://www.worldofdb2.com/events/ibm-db2-ai-for-z-os-boost-ibm-db2-application-performance-with-ma

    Reference 2

    Db2 AI for z/OShttps://www.ibm.com/support/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html

    See everything articles by Lockwood Lyon



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