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000-N09 exam Dumps Source : IBM LotusLive Technical Sales Mastery(R) Test v2

Test Code : 000-N09
Test designation : IBM LotusLive Technical Sales Mastery(R) Test v2
Vendor designation : IBM
: 40 real Questions

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neglect Oracle, IBM Is a stronger value inventory | killexams.com real Questions and Pass4sure dumps

Some investors survey loads of cost in Oracle (NYSE: ORCL) shares. The database-utility tremendous's personal administration, for one, lately called it "an superb purchase" and certified a further $10 billion of stock buybacks.

that's now not necessarily incorrect, but you should not hold to emerge too some distance afield to locate a higher cost inventory within the tech sector. at the moment, it live complicated to beat the lengthy-term value you are going to acquire from IBM (NYSE: IBM) shares.

A stack of cash, topped with a bundle of rolled-up $10 bills. there's a shadow of this arrangement on the wall behind it that feels like a rocket in flight.

greater

image source: Getty pictures.

Oracle's story

Oracle is a former titan of enterprise on its manner down. a brand novel breed of database systems has arrived, difficult now not best Oracle's enterprise mannequin however additionally the technical foundations of its flagship product line. the longer term belongs to so-known as NoSQL databases, that can disarrange and control unstructured facts at a scale and hasten it really is fully alien to Oracle-style relational databases.

Even Oracle knows it and is taking section in catch-up with its own cloud-based mostly NoSQL platform. nevertheless it's too little, too late, and Oracle comes with the wrong variety of road cred to drag off that transformation.

IBM's story

IBM discovered itself in a similar situation five years in the past. Ex-CEO Sam Palmisano had pulled huge Blue up by its bootstraps, making a celebrated enterprise model the residence one industry supplied the entire hardware, application, and associated functions it could engage to rush a successful IT operation at industry scale. Oracle changed into one of the many would-be IBM clones that tried to reproduction Palmisano's incredible template.

but markets trade, and organizations like IBM and Oracle hold to change together with the ambiance in the event that they want to reside principal and a hit. massive Blue's existing CEO Ginni Rometty stepped in with a pellucid imaginative and prescient of melodramatic market adjustments and a mandate to sequel anything changed into integral to dwell abreast with the brand novel instances. Rometty did not simply keep that alternate however started spearheading the change arrogate away.

Half-a-decade later, cloud computing is the buzzword of alternative across the entire IT industry; here is precisely the residence Rometty become aiming entire along. The enterprise has sacrificed billions of greenbacks in annual revenues by shedding out of date computing-hardware instruments to refocus on cloud-based facts analytics and administration. ersatz intelligence plays a tremendous half in IBM's novel strategy. So does company mobility, and the enterprise is a number one provider of blockchain applied sciences for company consumers.

when you are playing buzzword bingo at domestic, your gaming card requisite to live pretty replete with the aid of now. it is great. As I mentioned, IBM is driving many of these trends as opposed to just following alongside.

These so-referred to as strategic imperatives accounted for more than half of IBM's total earnings in 2018 and should most effectual proceed to outgrow the remaining legacy operations over time. We're a hockey-stick second for IBM's long-term income boom, the residence the annual raises should birth stacking up very promptly after a brace of years of falling revenue. The identical tendencies should likewise extend IBM's earnings margins over the next few years.

The upshot: great Blue is successful -- and the stock is low-priced!

IBM's radical approach shift has been tough on its inventory prices. Its shares hold lost 24% of their value over the remaining five years, or a much less hair-elevating 9% in case you account for its beneficiant dividend payouts along the way. nowadays, IBM shares are buying and selling at simply 9.5 times ahead salary and 12 instances trailing free money flows. that's a suited crop cost for a long-running turnaround narrative that is bouncing off the rock-backside profound discontinuance of a 5-yr trough.

Story continues

Glancing over at Oracle, I survey a corporation struggling to sustain with the changing markets instead of atmosphere the tone for a novel period. Its shares are trading for 14 instances forward revenue and 16.6 times trailing cash flows. You simply cannot prevail me that Oracle's shares are a stronger purchase than IBM's presently.

more From The Motley fool

Anders Bylund owns shares of IBM. The Motley fool owns shares of Oracle. The Motley fool is short shares of IBM and has birthright here alternatives: lengthy January 2020 $30 calls on Oracle. The Motley fool has a disclosure policy.


Settling In With IBM i For The long Haul | killexams.com real Questions and Pass4sure dumps

February 11, 2019 Timothy Prickett Morgan

If nothing else, the IBM i platform has exhibited marvelous longevity. One might even direct legendary sturdiness, in case you wish to engage its history the entire manner again to the device/three minicomputer from 1969. this is the actual birth point within the AS/four hundred household tree and here is when huge Blue, for very sound felony and technical and marketing reasons, determined to fork its products to address the wonderful needs of huge firms (with the gadget/360 mainframe and its follow-ons) and wee and medium agencies (starting with the system/3 and moving on through the gadget/34, device/32, system/38, and system/36 in the 1970s and early Eighties and passing during the AS/four hundred, AS/400e, iSeries, device i, and then IBM i on vigour programs systems.

It has been a long rush indeed, and a lot of valued clientele who hold invested in the platform entire started manner back then and there with the early types of RPG and moved their applications forward and altered them as their agencies evolved and the depth and breadth of company computing changed, moving on up via RPG II, RPG III, RPG IV, ILE RPG, and now RPG free kind. Being on this platform for even three many years makes you a relative newcomer.

there's a longer rush forward, due to the fact that they correspond with that the businesses that are nevertheless working IBM i techniques are the unquestionable diehards, the ones who haven't any purpose of leaving the platform and that, at least based on the survey statistics we've been privy too, are aspiring to proceed investing in, or even expand their investments in, the IBM i platform.

to this point, they aren't in a recession and heaven willing there should not one, so the priorities that IBM i shops hold are not the ones that that they had a decade in the past entire through the height of the extremely suited Recession. again then, as became the case in essentially entire IT corporations, IBM i shops were hunkering down and had been trying to reduce fees in entire ways feasible, including deferring gadget enhancements and migrations as well as reducing back on other initiatives. most effectual 29 percent of the 750 IBM i shops that participated in the 2019 IBM i industry Survey, which HelpSystems did again in October 2018, hold been concerned about cutting back IT spending. here is a remarkably low stage, and i arbiter is indicative of how particularly tough the economic climate is – excepting one of the fits and starts they saw on the conclusion of 2018 and birthright here in early 2019 that accomplish us anxious and will delivery putting compel on issues. here are the suited considerations as culled from the survey:

dealing with the enlarge in statistics and in determining the analytics to bite on that facts ranked a diminutive bit better on the 2019 IBM i industry Survey than did reducing prices, and i feel over the long haul these concerns will swirl into greater vital than modernizing applications and dealing with the IBM i lore shortages which are a perennial live concerned. both of those issues are being solved as novel programmers and novel tools to accomplish novel interfaces to database functions hold become greater regular and as technologies corresponding to free shape RPG, which looks more like Java, Python, and php, are being greater widely deployed and, importantly, will likewise live picked up more at once via programmers experienced with these other languages.

Given the nature of the client base, it looks unlikely to me that protection and tall availability will now not continue to live simple issues, despite the fact that the IBM i platform is among the many most relaxed systems in the world (and never simply because it is vague, however since it is tremendously difficult to hack) and it has quite a number tall availability and disaster recovery tools (from IBM, Syncsort, Maxava, and HelpSystems) attainable for those that wish to double up their methods and give protection to their functions and information. The bar is frequently larger than primary backup and recuperation for a lot of IBM i retail outlets in the banking, coverage, manufacturing, and distribution industries that dominate the platform. These agencies can’t hold safety breaches, and they can’t hold downtime.

there's a surprising volume of poise within the IBM i customer foundation that they believe, at this element, is reflective in the stability of the IBM i platform and massive Blue’s own perception that it wants a match IBM i platform to hold an habitual healthy dash systems business. they entire know that the power systems hardware industry has simply turned in five quarters of earnings enlarge – whatever thing they discussed recently in constructing their own profits model for the energy techniques company – but what they didn't understand, and what bethink to understand, is that in the second and third quarters of 2018, the IBM i element of the enterprise grew vastly quicker than the universal energy methods company, and the only antecedent that this did not swirl up in the closing quarter of 2018 is that earnings of IBM i rig in q4 2017 become reasonably mighty and represented a extremely difficult examine. The factor is, the IBM i company has been raising the power systems class regular. (These hints about the IBM i enterprise achieve compliments of Steve Sibley, vice chairman and offering manager of Cognitive methods at IBM.)

IBM’s own pecuniary steadiness of the vigour platform – which has been bolstered by passage of a stream into Linux clusters for analytics and extreme efficiency computing simulation and modeling in addition to via the adoption of the HANA in-reminiscence database by passage of SAP shoppers on massive iron machines including Power8 and now Power9 systems – helps IBM i purchasers believe extra assured in investing in the current IBM i platform. The concomitant evidence from a brace of different surveys, no longer just the one performed with the aid of HelpSystems each year, means that groups are by means of and massive both carrying on with to invest in the platform or even in some instances are planning to enlarge their spending on the IBM i platform in 2019.

As you could see, the pattern of investment plans for the IBM i platform, as proven within the chart above, has no longer changed very a gross lot in any respect in the past 4 years. it is a remarkably trustworthy pattern with however a diminutive wiggling here and there that may likewise now not even live statistically large. just below a quarter of IBM i stores hold reported during the past 4 years that they arrangement to enhance their funding in the platform in each yr, and just beneath half direct that they are preserving consistent. This does not imply that the identical businesses, year after year, are investing more and other organizations are staying pat, yr after 12 months. it is much more seemingly that each handful of years – more like four or five – consumers ameliorate their systems and extend their means, and that they then engage a seat tight. The prodigy is that the atomize up isn’t displaying some distance fewer corporations investing and far greater sitting tight. That greater than a tenth of the stores don’t understand what their arrangement is as every prior year involves a nearby is a diminutive traumatic, but it surely is honest and shows that a significant portion of shops defer other priorities apart from hardware and operating device improvements. they hold observed this earlier than and they can direct it once more: They believe that the people who respond to surveys and browse weekly publications concentrated on the IBM i platform are probably the most lively retail outlets – the ones greater likely to dwell incredibly current on hardware and software. So the tempo of adoption for brand novel applied sciences, and the cost of funding, should live bigger than in the specific base, an indigent lot of which doesn't exchange a lot at all.

So if they had to adjust this records to tackle the entire base, there might live a long passage fewer websites which are investing extra cash, much more companies which are sitting tight, and perhaps fewer sites which are considering moving off the IBM i platform. I reckon the distribution of information is doubtless some thing like 10 % of outlets hold no conception what they are doing funding sensible with IBM this year, 5 p.c are pondering relocating some or entire of their applications to an extra platform, maybe 10 percent are investing extra this yr, and the last seventy five % are sitting tight. here is just a bet, of course. so far as they can inform, the cost of attrition – how many sites they really lose every 12 months – just a tad over 1 %. So the expense of movement of purposes off the platform, or incidences of unplugging IBM i databases and functions, may no longer live anywhere nearby as extreme in the ordinary foundation as the data above suggests. what is alarming, in entire probability, is that the expense of relocating some or entire functions off the platform is balanced towards those that direct they will enhance investments. perhaps these are hopeful survey takers, and those who believe it's convenient to circulation locate it isn't and people who suppose they're going to locate the money to accomplish investments will now not.

What they sequel comprehend is that if the expense of software attrition became any residence near as extreme as these surveys imply, then the IBM i enterprise would not live growing to be, but shrinking. And they comprehend it isn't shrinking, so they arbiter there's a disconnect between planning and fact, each on the upside and the downside.

in case you drill down into the facts for the 2019 IBM i marketplace Survey, there were 13 percent of outlets that talked about they would live relocating some purposes to a novel platform, and one more 9 p.c that mentioned they hold been going to circulation entire of their purposes off IBM i. (This number is in step with the concomitant ALL400s survey finished by passage of John Rockwell.)

Anyway, respectable suited fortune with that.

Porting applications from one platform to an extra, of purchasing a novel suite on that novel platform, is an enormously problematic project. It isn't like trying to exchange a exhaust while riding down the highway, as is a typical metaphor, but rather like attempting to engage the exhaust off one vehicle relocating down the toll road and installation it on yet another car using beside it within the adjoining lane without crashing either vehicle or smashing into any one else on the road. Optimism abounds, but when propel comes to shove, very few organizations try this sort of maneuver, and when they do, it's constantly as a result of there is a company mandate, extra instances than now not caused by means of a merger or acquisition, that pits some other platform against IBM i operating on power systems. groups that direct they're making such a circulation off IBM i are sanguine for his or her personal personal motives, in entire probability, but they aren't necessarily sensible about how lengthy it might take, what disruption it is going to charge, and what optimum improvement, if any, may live realized.

if you sequel the maths on the chart above, eight-tenths of the bottom has no thought how lengthy a circulate will take, another 1.7 p.c thinks it will engage greater than five years, and three p.c direct it's going to engage between two years and five years. only 3.4 percent of the gross foundation direct they can sequel it in under two years. They believe entire of these numbers are confident, and the agencies who might without hardship leave OS/four hundred and IBM i already did a long time ago and people that are remain hold a tougher time, now not a simpler time, moving. If this hold been no longer real, the IBM i foundation can live a hell of lots smaller than the a hundred and twenty,000 valued clientele they reckon are out there, in line with what huge Blue has advised us during the past. this is the change between worry or compel or passage of life and the fact of attempting to stream a company off one platform and onto a different. These strikes are always an indigent lot more durable than they hunt on the entrance end, and they suspect many of the benefits likewise don’t materialize for those who sequel soar systems.

at the ordinary attrition cost cautioned via this survey facts – 9 % circulation off the platform in someplace between three hundred and sixty five days and greater than 5 years, with most corporations not being able to survey more than 5 years into the long rush this is a trim trick – the installed foundation would crop back dramatically. it is tough to pretense how a ways as a result of the wide selection of timeframes within the survey. If it was 9 % of the foundation inside two years – call it four.5 percent of the foundation per yr – then within a decade the middling foundation would crop back from 120,000 IBM i websites global birthright down to about seventy two,000. this could melodramatic indeed. but at a 1 % attrition cost per 12 months, the bottom continues to live at 107,500 entertaining consumers (now not sites and not Put in machines, both of which can live higher) through 2029. They feel there is every opportunity that the attrition fee will in fact gradual and drop underneath 1 p.c as IBM demonstrates dedication to the vigour systems platform and its IBM i operating equipment. There are entire the time some novel customers being brought in novel markets, to accomplish certain, but the bleed cost (even if it is small) remains likely an order of magnitude bigger than the feed fee.

after they sequel reckon about making the movement, IBM i retail outlets know exactly where they are looking to go, and this retort has been regularly altering over the years: Linux as an alternative selection to IBM i is on the upward propel and windows Server as an option is on the wane. within the newest survey, fifty two % of the corporations that said they hold been moving entire or some of their purposes to yet another platform said they had been making a selection on home windows Server, while 34 % chose Linux. This reflects the relative popularity of windows Server and Linux in the datacenters of the realm at tremendous, and can live tipped simply a bit extra heavily towards Linux in comparison to the comfort of the realm. apparently, 10 percent of those polled who talked about they hold been relocating were taking a hunt at AIX structures, and yet another 4 % were going upscale to device z mainframes – as not likely as this may seem to be. systems are likely to roll downhill; they don't continually challenge gravity like that.

The factor about such surveys is that they exhibit intent, not motion. They commonly intend to sequel much more than they basically can accomplish, and moving structures after spending decades of building up lore isn't continually a really sage stream until the platform is in precise problem – just like the Itanium systems from Hewlett Packard commercial enterprise working OpenVMS or HP-UX or the HP 3000s working MPE or the Sparc techniques from Oracle running Solaris. These hold been as soon as first rate structures with huge Put in bases and colossal salary streams, but now, IBM is the remaining of these Unix and proprietary systems with its vigour methods line. And it is via a ways the biggest and for bound the only one displaying any boom.

linked reports

The IBM i foundation Did indeed movement On Up

The IBM i foundation Is ready to stream On Up

funding And Integration symptoms For IBM i

protection nonetheless Dominates IBM i dialogue, HelpSystems’ 2018 Survey displays

The IBM i foundation no longer As Jumpy because it Has Been

The Feeds And Speeds Of The IBM i Base

IBM i Priorities For 2017: Pivot To defense

IBM i developments, issues, And Observations

IBM i Survey receives more advantageous As Numbers grow

where sequel these IBM i Machines Work?

finding IBM i: A game Of 40 Questions

it is time to parade Us What you're up to

IBM i market Survey: The significance Of Being Earnest

What’s Up in the IBM i marketplace?

IBM i marketplace Survey Fills within the Blanks


IBM Db2 question Optimization the disburse of AI | killexams.com real Questions and Pass4sure dumps

In September 2018, IBM introduced a novel product, IBM Db2 AI for z/OS. This ersatz intelligence engine monitors information entry patterns from executing SQL statements, uses computer getting to know algorithms to determine upon most trustworthy patterns and passes this counsel to the Db2 query optimizer to live used by subsequent statements.

machine gaining lore of on the IBM z Platform

In may of 2018, IBM announced version 1.2 of its machine getting to know for z/OS (MLz) product. here's a hybrid zServer and cloud software suite that ingests efficiency records, analyzes and builds models that symbolize the health status of numerous symptoms, monitors them over time and provides real-time scoring capabilities.

a brace of elements of this product offering are geared toward helping a community of mannequin builders and executives. for instance:

  • It helps multiple programming languages equivalent to Python, Scala and R. This allows for records modelers and scientists to disburse a language with which they're ordinary;
  • A graphical consumer interface called the visual mannequin Builder courses mannequin builders devoid of requiring tremendously-technical programming advantage;
  • It comprises diverse dashboards for monitoring model effects and scoring features, as well as controlling the gadget configuration.
  • This computer getting to know suite became initially geared toward zServer-based analytics purposes. one of the crucial first evident selections changed into zSystem efficiency monitoring and tuning. device management Facility (SMF) records which are immediately generated by the operating rig give the uncooked statistics for system resource consumption similar to valuable processor utilization, I/O processing, reminiscence paging and so forth. IBM MLz can compile and reclaim these statistics over time, and construct and educate models of gadget conduct, ranking those behaviors, identify patterns no longer effortlessly foreseen through people, further key efficiency symptoms (KPIs) after which feed the mannequin effects again into the device to strike system configuration adjustments that can enhance performance.

    The next step become to implement this suite to anatomize Db2 performance records. One answer, called the IBM Db2 IT Operational Analytics (Db2 ITOA) retort template, applies the computer discovering know-how to Db2 operational statistics to benefit an knowing of Db2 subsystem health. it could actually dynamically build baselines for key performance indicators, provide a dashboard of those KPIs and provides operational team of workers real-time insight into Db2 operations.

    while widely wide-spread Db2 subsystem efficiency is an needful element in common utility fitness and efficiency, IBM estimates that the DBA aid group of workers spends 25% or greater of its time, " ... combating access course complications which antecedent performance degradation and repair hold an impact on.". (See Reference 1).

    AI involves Db2

    trust the plight of modern DBAs in a Db2 atmosphere. In today's IT world they should succor one or greater huge statistics purposes, cloud utility and database functions, utility setting up and configuration, Db2 subsystem and software performance tuning, database definition and management, catastrophe restoration planning, and extra. query tuning has been in being in view that the origins of the database, and DBAs are constantly tasked with this as smartly.

    The heart of question path analysis in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to access the statistics, reviews the places of the objects to live accessed and develops an inventory of candidate statistics entry paths. These access paths can involve indexes, desk scans, a lot of table live section of strategies and others. within the facts warehouse and massive statistics environments there are always further selections purchasable. One of those is the being of abstract tables (now and again called materialized query tables) that involve pre-summarized or aggregated data, consequently allowing Db2 to evade re-aggregation processing. one other alternative is the starjoin access course, orthodox in the statistics warehouse, where the order of table joins is changed for performance explanations.

    The Optimizer then reviews the candidate entry paths and chooses the access direction, "with the bottom can charge." can suffuse during this context capability a weighted summation of aid utilization including CPU, I/O, reminiscence and different supplies. at last, the Optimizer takes the lowest cost entry route, retailers it in reminiscence (and, optionally, in the Db2 listing) and starts access course execution.

    big facts and records warehouse operations now encompass utility suites that permit the industry analyst to accomplish disburse of a graphical interface to build and maneuver a miniature records model of the records they want to analyze. The applications then generate SQL statements in keeping with the users’ requests.

    The hardship for the DBA

    as a passage to sequel decent analytics to your diverse facts outlets you requisite a fine knowing of the records requirements, an realizing of the analytical capabilities and algorithms accessible and a excessive-performance information infrastructure. unluckily, the number and placement of facts sources is increasing (each in dimension and in geography), information sizes are growing, and applications continue to proliferate in number and complexity. How should IT managers advocate this atmosphere, especially with essentially the most experienced and mature staff nearing retirement?

    remember likewise that a huge section of cutting back the gross cost of ownership of these systems is to acquire Db2 functions to rush quicker and more correctly. This usually translates into using fewer CPU cycles, doing fewer I/Os and transporting much less statistics throughout the network. due to the fact that it is frequently complicated to even determine which applications could improvement from performance tuning, one mode is to automate the detection and correction of tuning considerations. here is the residence computing device learning and synthetic intelligence can live used to exceptional effect.

    Db2 12 for z/OS and ersatz Intelligence

    Db2 edition 12 on z/OS makes disburse of the computer learning amenities outlined above to collect and reclaim SQL query textual content and access path details, as well as exact performance-linked ancient assistance equivalent to CPU time used, elapsed times and result set sizes. This providing, described as Db2 AI for z/OS, analyzes and stores the statistics in computer researching fashions, with the model analysis outcomes then being scored and made attainable to the Db2 Optimizer. The next time a scored SQL remark is encountered, the Optimizer can then disburse the model scoring data as input to its access route option algorithm.

    The influence should live a discount in CPU consumption because the Optimizer uses model scoring enter to select superior access paths. This then lowers CPU prices and speeds application response instances. a significant talents is that the disburse of AI software does not require the DBA to hold statistics science talents or profound insights into query tuning methodologies. The Optimizer now chooses the top-quality entry paths based mostly no longer best on SQL question syntax and facts distribution facts but on modelled and scored historical efficiency.

    This may likewise live particularly crucial in case you shop records in several locations. for example, many analytical queries against huge information require concurrent access to Definite records warehouse tables. These tables are commonly referred to as dimension tables, and that they involve the facts facets usually used to ply subsetting and aggregation. as an instance, in a retail environment accept as exact with a desk called StoreLocation that enumerates each shop and its vicinity code. Queries towards reclaim earnings statistics may additionally want to blend or summarize sales through location; therefore, the StoreLocation desk could live used by some great information queries. during this environment it's typical to engage the dimension tables and duplicate them continuously to the great information application. within the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now feel about SQL queries from both operational applications, facts warehouse users and massive data industry analysts. From Db2's standpoint, entire these queries are equal, and are forwarded to the Optimizer. although, within the case of operational queries and warehouse queries they may quiet most likely live directed to entry the StoreLocation table in the warehouse. in spite of this, the query from the industry analyst against huge facts tables should doubtless entry the replica of the table there. This results in a proliferations of potential entry paths, and extra toil for the Optimizer. thankfully, Db2 AI for z/OS can deliver the Optimizer the suggestions it must accomplish smart access course selections.

    how it Works

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

  • all over a bind, rebind, prepare or clarify operation, an SQL statement is passed to the Optimizer;
  • The Optimizer chooses the records entry direction; because the selection is made, Db2 AI captures the SQL syntax, entry course option and query performance information (CPU used, and many others.) and passes it to a "researching project";
  • The getting to know project, which will likewise live done on a zIIP processor (a non-popular-goal CPU core that doesn't element into application licensing costs), interfaces with the machine researching application (MLz mannequin features) to reclaim this advice in a mannequin;
  • as the quantity of information in each model grows, the MLz Scoring carrier (which likewise can live accomplished on a zIIP processor) analyzes the mannequin statistics and rankings the conduct;
  • right through the next bind, rebind, prepare or explain, the Optimizer now has entry to the scoring for SQL fashions, and makes applicable changes to access direction decisions.
  • There are likewise numerous person interfaces that give the administrator visibility to the repute of the collected SQL observation efficiency statistics and mannequin scoring.

    summary

    IBM's computer researching for zOS (MLz) providing is being used to notable sequel in Db2 edition 12 to enlarge the efficiency of analytical queries in addition to operational queries and their linked functions. This requires administration attention, as you must verify that your industry is ready to consume these ML and AI conclusions. How will you measure the charges and benefits of the usage of computing device learning? Which IT sheperd group of workers should live tasked to reviewing the outcomes of mannequin scoring, and perhaps approving (or overriding) the effects? How will you review and justify the assumptions that the utility makes about entry path decisions?

    In different phrases, how smartly sequel you know your records, its distribution, its integrity and your present and proposed access paths? this could assess where the DBAs disburse their time in supporting analytics and operational application performance.

    # # #

    Reference 1

    John Campbell, IBM Db2 unique EngineerFrom "IBM Db2 AI for z/OS: enlarge IBM Db2 software efficiency with laptop getting to know"https://www.worldofdb2.com/hobbies/ibm-db2-ai-for-z-os-enhance-ibm-db2-application-efficiency-with-ma

    Reference 2

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


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    Learn Open Source Database Tools from Stanford for Free | killexams.com real questions and Pass4sure dumps

    I recently finished Stanford’s excellent free on-line course Introduction to Databases with Jennifer Widom. The course is a broad survey of database technology including XML, Relational Database Management Systems (RDBMS) from many angles (SQL forms the centerpiece of the course), OLAP (OnLine Analytical Processing) and NoSQL.

    I was very impressed with the breadth of Widom’s approach to the subject: it was a major judgement I decided to disburse time on the course. Another strength is its nuts-n-bolts approach: some hypothetical topics are covered but for the most section this is a course for practitioners. Finally, I particularly appreciated the extensive disburse of FOSS (Free and Open Source Software) in the course.

    Why study databases? I will merely direct that data is a core appliance pervading the information resources of modern civilization. Databases are where data is housed. For example, the data constituting this blog is stored in a database and the same can live said for much (if not all) of the Internet. Databases are a profoundly vital, tremendous picture subject.

    Widom’s course is quiet open for enrollment in “archival mode” significance you can watch the videos, toil through the exercises, quizzes and exams, and track your progress, but the deadlines hold expired and no more “Statements of Accomplishment” will live awarded (at least until the course is offered again). To complete the simple enrollment retract to db-class.org and start learning about databases with FOSS today!

    Although the course is broadly useful for anyone wanting to learn the basics of databases from a broad perspective, I organize it to live particularly suited for learning about the FOSS tools that can advocate database systems. So let’s start there.

    FOSS Tools Covered

    For traditional RDBMS, the course uses PostgreSQL, SQLite, and MySQL. Widom mentions some limitations of each database (DB) in regards to the SQL (Structured Query Language) benchmark including needful distinctions about using each system with triggers, transactions (PostgreSQL has the best support), Views (MySQL uses updatable views whereas PostgreSQL & SQLite disburse triggers to modify views), recursion (only PostgreSQL and only in newer versions), and OLAP (only MySQL supports with rollup).

    On the XML side, I erudite xmllint and SAXON for XML validation, querying and transformation. The course covers the basics of DTDs, XML Schema, XPath, XQuery and XSLT. I used xmllint, saxonb-xquery, and saxonb-xslt to toil through the exercises (the searchable mp;A forum provides usage details).

    Finally, for NoSQL there are two videos which survey the situation of the art. There is some depth on the Map Reduce framework provided by Hadoop. Several other FOSS systems are briefly discussed: Cassandra, Voldemort, CouchDB, MongoDB, and more. The NoSQL portion of the course is a suited overview of the technology, but there are no exercises and hence diminutive depth of a concrete nature.

    From a FOSS perspective, the course is exquisite: FOSS utilities were front and seat for the duration and some guidance in using these tools is provided. succor was readily available: I answered a few questions in the mp;A forum to succor people overcome hurdles and I used its search feature to overcome some of my own. In sum, studying this course will give you the lay of the land for FOSS database technology including some advice about the limitations and strengths of its best database tools.

    Stanford’s innovative platform for free on-line video courses

    I am a tremendous fan of so-called Open Educational Resources (OER) including free on-line video courses. Stanford’s Databases course is the 12th I’ve completed, but only the second in which I did a “deep dive” by reinforcing learning with exercises, quizzes and exams. In general, I disburse OER video courses as edutainment as I usually find the extra toil too time-consuming: my goal is to broadly understand how the world works, not to build expertise in every topic I study! So, conceptually, I prefer the traditional shape of video courses pioneered by MIT’s OpenCourseWare which in contrast with Stanford’s novel approach might live called archived courses. Archived courses accomplish the material available without (m)any convivial tools. So, working through the materials in traditional OER courses usually requires extra self-discipline and commitment (unless you just watch the videos for fun as I often do).

    Stanford’s OER system, online at coursera.org, builds on the basic notion of OER video courses by adding deadlines, interactive feedback from automatically evaluated work, and some, including the Databases course, proffer the skill to earn a “Statement of Accomplishment” for demonstrating basic proficiency. It is precisely these convivial enhancements that makes Stanford’s initiative so noteworthy. Together these convivial tools provide a shared undergo with a pellucid set of tasks for a cohort of students working through the course at the same time.

    The extra interactivity and the focus of deadlines give the Stanford approach to OER a special excitement and sense of goal accomplishment which is absent in archived courses. Even though I prefer the archived courses whose videos can live more entertaining than Stanford’s tutorial-focused approach, I hold to admit I was enthralled by the deadlines: they kept me focused. It should live emphasized that Stanford’s courses like the more traditional OER archival courses can live pursued at a pace that suits your time and interest: there’s no imperative to supervene the deadlines or earn kudos for accomplishments.

    How I used the course materials

    Although I hold been using databases professionally for many years, I had not read nor studied the topic in any depth previously. I decided to engage this opportunity for a profound dive. Widom’s Databases course includes a simple enrollment process, tutorial-style videos (for download or in a browser with glimmer support), automatically graded exercises, quizzes, and exams each with arduous deadlines, a Course Materials section with many goodies, Optional Exercises, a FAQ, a mp;A forum, and a “Statement of Accomplishment” from the instructor if you completed a substantial portion of the coursework by the deadline (6,513 of the 91,000 students enrolled in the Fall 2011 Databases course earned one; here is mine).

    First, I watched each video twice taking particular handwritten notes on the second viewing (22 pages worth!). I then checked the glimmer version of the videos which often included inline questions that were very useful (Stanford’s glimmer video viewer is the best I’ve seen: it even supports speeding up the video by 1.2 or 1.5 times while automatically adjusting the pitch!).

    Then I worked through the quizzes and exercises. One nice feature of both was that you could attempt them many times. Different variants were provided to many of the quiz questions to accomplish it harder to apply a blind visitation and oversight approach and you can continue to toil on them after getting them entire remedy (which might live useful as a passage to practice for the exams or to survey if you bethink anything of the course when you check back in 1 or 10 years). I organize the quizzes and exams to live very challenging and not so rewarding. Of course some mastery is required and acquired from the quizzes and for other learning styles they may prove more valuable than they were for me: arbiter for yourself.

    The course included many supplementary exercises to provide extra practice. I used them for Relational Algebra and they were very helpful. However due to time constraints, I was unable to disburse them further. Most of my time was spent working through the exercises. I did entire the exercises in an xterm window running sqlite, psql, xmllint, saxonb-xquery, or saxonb-xslt and pasting the results into the query workbench. This allowed me to really undergo the FOSS tools “in the wild” which gave me a tough sense of their ins and outs. For me the interactive exercises were fantastic: they really helped me learn the material by directly engaging my problem solving faculty. They were like a real project with deadlines! Although I occasionally got ruffled with some of the difficult ones, they were engaging and fun!

    Although the course web site is very simple and well-designed, it was quiet feasible to hold hardship finding some of the gems provided for the students. For example, it took me awhile to find the code used in the demos (which was extremely useful by the way): the Course Materials section of the site has entire the goodies you requisite but you hold to mouse over the icons to survey treasures that emerge hidden at first (remember to birthright click to download). likewise hunt carefully at the prescripts or postscripts affixed to some sections: more treasures.

    The mp;A forum was helpful for finding things that were not at first apparent. A brace of times I scoured the Internet or Wikipedia looking for other angles on the material to understand a point I was struggling with. entire toil for the class is “open book”, so I only prepared for the exams by simply reviewing my notes.

    Advice for students

    I recommend taking the course now even though the deadlines hold expired. Feel free to skip any section of the course that your interests, time constraints, and patience warrant. If the course is ever offered again, you will already know much of the material which should succor you earn a “Statement of Accomplishment”. If not, you will better understand a broadly useful, needful and absorbing subject.

    If you want to sequel a “lite” version of the course, I recommend skipping the quizzes and exams. In addition, many of the topics can live skipped if you are short on time or find them uninteresting. To her credit Jennifer Widom recommended as much in her screen side chats which provided a wonderful human dimension to the course. Although some of the material is cumulative, there are several parts of the course for which skipping is a real option. For example, the Relational Algebra (I thoroughly enjoyed doing those exercises!!!) and the Relational Design Theory topics are, I think, less needful especially if you just want to acquire basic DBA skills. I deal with enough XML, that I organize that section of the course extremely useful, but I can imagine someone who just needs SQL might skip those parts. This is a free course: you can live creative in how you disburse the materials so that you acquire what you want out of it!

    I recommend doing the exercises associated with each topic (some did not hold exercises). Some of them are quite challenging and some took me quite a bit of time. If necessary, skip some of the harder ones. If time is really pressing, just watch the videos that particularly interest you: bethink this is a free resource: you can tailor your toil on the course in whatever passage suits your interests and time.

    I did not buy nor borrow a textbook for the course (I was very impressed that Widom prepared reading assignments for four divorce texts in the Course Materials sections of the site. Wow, that must hold been a lot of work!). Having been through the course, I arbiter a text is unnecessary for most students. You may find a few topics that are arduous for you or for which the videos were insufficient to master the material. Since textbooks are more comprehensive and more detailed, they could succor fill in the gaps. In particular diligent students may want a text. I prefer to learn iteratively, that is, I would prefer a shallow course today and another later that goes in more depth (I might even prefer to engage two lite courses to build my mastery of a topic by degrees). But if you want a more complete undergo now, then by entire means acquire a textbook and dig in!

    Other OER Database Resources

    In addition to the OER resources below, I organize occasion to reference Widom’s course site for Stanford students in the allied CS145 Introduction to Databases and her colleague Jeff Ullman’s offering of CS145 from Autumn 2002. MIT OCW has 6.814/6.830 on Database Systems which looks a bit too advanced for an introductory course and MIT OCW has 1.264J/ESD.264J Database, Internet, and Systems Integration Technologies which I organize useful to supplement Widom’s course (especially for Relational Design Theory). Finally, the Indian Institutes of Technology (IIT) has a complete video course (with 43 videos totaling 40 hours and 17 minutes) on Database Management Systems or watch its YouTube playlist (I did not hunt at these videos, but I’ve seen other IIT material and they are usually very informative and accurate).

    Conclusion

    Stanford’s exciting novel system for on-line courses is remarkable in its disburse of convivial tools to engage students. This is a boon to the OER movement! In today’s rapidly changing world, refreshing and expanding one’s skills is essential to apprehending the needs and opportunities that abound if you are snoopy enough!

    I’m hooked! Although I quiet worship and will continue to disburse archived courses, I will live checking to survey if Stanford has any courses of interest regularly from now on! I’ve signed up for several of Stanford’s offerings (there are 16 of them!) for Winter term with the purpose of “dropping” or doing a “shallow dive” (maybe just watch a few videos and sequel some exercises as interest permits). But I am eying the Model Thinking course for a feasible profound dive. To survey the replete list of offerings retract to Class Central: Summary of Stanford’s online course offerings and arrangement your learning for the Winter term which starts next Monday, January 23rd!

    Stanford’s Fall 2011 edition of Introduction to Databases was a noteworthy course! Kudos to Jennifer Widom and everyone at Stanford who made this possible.

    If you haven’t started or finished it yet, head over to db-class.org now and acquire to it! It is one of the best resources on the Internet for learning about databases. Moreover, it includes the special benefit of covering a broad range of needful FOSS database tools.

    Other Reviews of Widom’s Databases Course


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