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000-Z01 IBM System z System Programmer Mastery

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000-Z01 exam Dumps Source : IBM System z System Programmer Mastery

Test Code : 000-Z01
Test cognomen : IBM System z System Programmer Mastery
Vendor cognomen : IBM
braindumps : 130 existent Questions

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IBM IBM System z System

IBM (IBM) Up 3.9% on the grounds that ultimate earnings file: Can It continue? | existent Questions and Pass4sure dumps

A month has passed by considering the fact that the final profits report for IBM (IBM). Shares absorb added about three.9% in that point body, underperforming the S&P 500.

Will the fresh tremendous vogue continue leading up to its subsequent revenue unlock, or is IBM due for a pullback? before they dive into how traders and analysts absorb reacted as of late, let's assume a short issue at the most recent profits document with a purpose to obtain a far better deal with on the captious drivers.

IBM this drop earnings Beat Estimates, Revenues Decline Y/Y

overseas enterprise Machines Corp delivered fourth-quarter 2018 non-GAAP income of $four.87 per share, which beat the Zacks Consensus assay of $4.81 per share. however, profits per partake (EPS) decreased 5.9% from the year-in the past quarter. The 12 months-over-year decline in EPS will also be attributed to larger tax cost.

Revenues of $21.76 billion absorb been pretty much in line with the Zacks Consensus assay of $21.seventy four billion and declined three.5% on a yr-over-12 months basis. At regular foreign money (cc), revenues dipped 1%. The yr-over-12 months decline can essentially be attributed to forex fluctuation and headwinds from IBM Z product cycle.

notably, IBM brought up that signings surged 21% on cc foundation to $15.eight billion. services backlog declined 1% year over yr and got here in at $116 billion.

Geographic income particulars

Revenues from Americas had been down 4%, reflecting the headwind from the IBM Z product cycle. besides the fact that children, persevered increase in Latin the usa turned into a good.

Europe, core-East and Africa expanded 2% from the year-in the past quarter exceptionally because of boom in Spain, Germany, Italy and the U.ok.

Asia-Pacific revenues declined 1% on a year-over-12 months groundwork with modest boom in Japan.

Strategic Imperatives growth Continues

Strategic Imperatives (cloud, analytics, mobility and protection) grew 5% at cc from the yr-ago quarter to $eleven.5 billion. except for IBM Z product cycle absorb an impact on Strategic Imperatives grew 11% year over year.

safety revenues surged 17% (with the exception of IBM Z product cycle affect) and declined three% on cc groundwork. On a trailing 12-month groundwork, Strategic Imperatives revenues were $forty billion, up 9%.

Cloud revenues surged 6% from the 12 months-in the past quarter to $5.7 billion and 19% (excluding IBM Z product cycle influence). The annual hurry expense for cloud as-a-provider revenues multiplied 21% at cc on a 12 months-over-yr groundwork to $12.2 billion.

Cloud revenues of $19.2 billion on a trailing 12-month foundation accelerated 12% 12 months over year.

Cognitive Revenues Surge

Cognitive solutions’ revenues-external increased 2% 12 months over yr (on cc groundwork) to $5.5 billion. Revenues from Cognitive solutions (together with solutions application and transaction processing) elevated primarily due to growth in options application, including analytics and synthetic intelligence (AI).

Segmental revenues relating Strategic Imperatives and Cloud improved 9% and 5%, respectively. Cloud as-a-service profits annual hurry rate become $2 billion.

options application contains offerings in strategic verticals fancy health, domain-selected capabilities fancy analytics and protection, and IBM’s rising applied sciences of AI and blockchain. The section also contains offerings that address horizontal domains fancy collaboration, commerce and talent. within the suggested quarter, options application revenues improved 3% yr over year.

IBM mentioned that the mixing of AI into choices fancy client undergo analytics in commerce belt helped SaaS signings to grow in double digit in the suggested quarter.

Transaction Processing software contains application that runs mission-vital workloads, leveraging IBM’s hardware structures. Revenues had been up 1% on a year-over-yr foundation.

IBM witnessed increase in commerce verticals fancy fitness, key areas of analytics and safety in the quarter. Watson fitness witnessed huge-based boom in Payer, provider, Imaging and lifestyles Sciences domains.

all through the fourth quarter, IBM accelerated partnership with Vodafone group. Per the deal, IBM’s superior hybrid cloud platform, AI, cyber web of issues (“IoT”) capabilities will aid Vodafone company with digital transformation initiatives.

IBM brought up that analytics carried out well within the quarter, driven through facts science offerings and IBM Cloud inner most for facts providing.

security growth turned into pushed via offerings in orchestration, data security and endpoint administration.

Story continues

In blockchain, IBM introduced addition of a brace of recent purchasers every through the quarter, which contains “work with smart Dubai on the middle East’s first executive-recommended blockchain platform.” The enterprise additionally unveiled an on-prem providing every over the suggested quarter, the IBM Blockchain Platform for IBM Cloud private. a few recent deal wins is additionally assisting IBM to reinforce its foothold in blockchain know-how.

global enterprise capabilities Revenues raise

Revenues from global commerce capabilities-exterior segment absorb been $four.three billion, up four% from the yr-in the past quarter (up 6% at cc). The year-over-12 months enhance was essentially as a result of increase across every three commerce areas particularly consulting, software administration and world system services.

Segmental revenues referring to Strategic Imperatives grew 14%. Cloud succeed surged 34%. Cloud as-a-service salary annual hurry rate was $2.1 billion.

application management revenues elevated 4% from the yr-ago quarter. global system services revenues climbed 5%. moreover, Consulting revenues extended 10% year over 12 months, driven through potent efficiency from IBM’s digital business.

expertise functions & Cloud platforms: Revenues Dip

Revenues from expertise features & Cloud systems-exterior lowered three% from the year-ago quarter (flat at cc) to $8.9 billion. Segmental revenues pertaining to Strategic Imperatives advanced 13%, pushed via hybrid cloud features. Cloud surged 22% from the year-ago quarter. Cloud as-a-service earnings annual hurry cost become $eight billion.

Integration software increased four% from the year-in the past quarter. every over the reported quarter, greater than 100 companies world wide selected IBM Cloud inner most offering. Infrastructure capabilities revenues had been flat on a 12 months-over-year basis.

Technical uphold functions revenues decreased 3% from the yr-ago quarter.

energy & z14 power methods Revenues

systems revenues reduced 21% on a yr-over-year basis (down 20% at cc) to $2.6 billion, basically due to absorb an upshot on of the IBM Z product cycle. Segmental revenues touching on Strategic Imperatives plunged 22%, whereas Cloud revenues declined 31%.

IBM Z revenues reduced forty four% year over yr. however, MIPS potential has multiplied round 20%, driven by large-based mostly adoption of the z14 mainframe.

power revenues increased 10% from the yr-in the past quarter. The upside became specially because of Linux and tenacious adoption across the latest POWER9-based architecture.

all the artery through the fourth quarter, IBM accomplished the launch of its subsequent generation POWER9 processors for midrange and excessive-end systems which are designed for handling advanced analytics, cloud environments and information-intensive workloads in AI, HANA, and UNIX markets.

IBM additionally brought recent offerings optimizing both hardware and utility for AI. administration believes that products fancy PowerAI imaginative and prescient and PowerAI commercial enterprise will assist power recent consumer adoption.

despite the fact, storage hardware revenues declined due to vulnerable efficiency in the mid-range conclusion, partly offset via extraordinary boom in every glitter Arrays. IBM stated that pricing drive in the immensely competitive storage market is hurting revenues. The enterprise introduced its recent FlashSystems with subsequent generation NVMe know-how every the artery through the reported quarter.

operating systems application revenues declined three%, while systems Hardware slumped 23% from the yr-ago quarter.

at last, global Financing (contains financing and used gadget income) revenues diminished 11% year over year and 9% at cc to $402 million.

working particulars

Non-GAAP uncouth margin remained unchanged from the year-in the past quarter at 49.5%. The uncouth margin benefited primarily by 190 basis points (bps) enlargement in capabilities margin. youngsters, detrimental mix in IBM Z product cycle utterly offset this enlargement.

operating charge declined 5.three% 12 months over yr, due to attention of acquisition synergies and improving operational efficiencies. IBM continues to reserve money into every of a sudden starting to be fields fancy hybrid cloud, synthetic intelligence (AI), security and blockchain.

Pre-tax margin from carrying on with operations increased 50 bps on a year-over-12 months foundation to 23.1%.

Cognitive options and global commerce functions facet pre-tax margins accelerated 290 bps and 520 bps, respectively, on a year-over-yr basis. besides the fact that children, know-how services & Cloud systems facet pre-tax margin shriveled 20 bps.

Non-GAAP operating margins from continuing operations contracted ninety bps and came in at 20.three%.

stability Sheet & money movement details

IBM ended fourth-quarter 2018 with $eleven.ninety nine billion in complete money and marketable securities in comparison with $14.70 billion at the conclusion of third-quarter 2018. total debt (together with existing component) become $forty five.8 billion, down from $46.9 million from the extinct quarter.

IBM mentioned cash circulation from operations (excluding international Financing receivables) of $7.3 billion and generated free money promenade of $6.5 billion within the quarter under assessment.

within the mentioned quarter, the enterprise again $3.5 billion to shareholders through dividends and partake repurchases. The enterprise again more than $10 billion to shareholders via dividends and partake repurchases for the entire fiscal 12 months.

on the conclude of the 12 months, the company had $3.three billion remaining beneath existing buyback authorization.

Fiscal 2018 Highlights

IBM said fiscal 2018 non-GAAP profits of $13.eighty one per share, where as revenues got here in at $79.6 billion, up 1% each yr over yr.

Revenues from Cognitive options, world commerce capabilities, technology services & Cloud systems, systems and global Financing got here in at $18.forty eight billion, $sixteen.82 billion, $34.forty six billion, $eight.03 billion and $1.59 billion, respectively.


IBM expects non-GAAP EPS forecast for 2019 to be at least $13.ninety.

IBM still anticipates 2019 free cash promenade of $12 billion.

How absorb Estimates Been relocating considering that Then?

It turns out, fresh estimates flatlined every through the past month.

VGM ratings

at the present, IBM has a subpar boom score of D, however its Momentum score is doing lots more suitable with a B. Charting a slightly equivalent route, the stock turned into allotted a grade of A on the cost facet, placing it in the excellent quintile for this investment approach.

normal, the inventory has an aggregate VGM ranking of B. in case you aren't focused on one method, this score is the one bethink to be drawn to.


IBM has a Zacks Rank #3 (dangle). They hope an in-line recur from the stock in the following brace of months.

want the newest options from Zacks funding research? nowadays, that you may down load 7 most profitable stocks for the next 30 Days. click to obtain this free document foreign commerce Machines commerce enterprise (IBM) : Free stock analysis file To read this text on click on here. Zacks funding analysis

analyzing IBM (IBM) & Toshiba (TOSYY) | existent Questions and Pass4sure dumps

No influence found, are trying recent keyword!comprehensive the contour below to obtain hold of the latest headlines and analysts' techniques for IBM with their free each day e mail e-newsletter ... and transaction processing software that runs mission-crucial sy...

IBM PowerVM: Product Overview and insight | existent Questions and Pass4sure dumps

See the entire record of optimum server virtualization utility.

base line:

IBM PowerVM can virtualize AIX, IBM Linux, and IBM i customers running on its verve server platform. indeed, it is likely one of the most replete featured virtulization classes on the market – no surprise, given IBM's abysmal legacy in the facts middle.

but it may additionally no longer be the least difficult platform to enforce. it will require specialists to install it. as a result, mid-sized and much businesses should still Do fine, but SMBs could be choicest to avoid it until they can afford outdoor help. IBM PowerVM is geared exceptionally for modern-day advanced statistics facilities with demanding application workloads.

Product Description:

IBM PowerVM can consolidate varied workloads onto fewer methods, expanding server utilization and decreasing can charge. PowerVM provides a comfy and scalable server virtualization atmosphere for AIX, IBM i and Linux applications constructed upon the RAS facets of the vigour techniques platform. in brief, its hypervisor is reasonably bendy. it may uphold supply services in the cloud faster by automating deployment of VMs and storage. it will possibly additionally uphold eliminate downtime via live mobility between servers.

PowerVM 2.2.6 grants business-grade virtualization, proposing the groundwork for cloud computing on IBM verve systems. it could possibly successfully partake resources amongst applications, consolidate diverse workloads, and provide the application mobility in a multi-cloud infrastructure. It is said to increase resource utilization, crop back operating fees, and supply a greater agile ambiance for IBM AIX, IBM i, and IBM Linux functions working on verve methods.

in the most concomitant free up, IBM has greater tightly integrated PowerVM with the power platform. each POWER9 server comes with POWERVM commercial enterprise version. there is also a typical version in addition to an IBM PowerVM, Linux edition. PowerVM typical version contains the following components:

  • Micro-Partitioning technology
  • N-Port identification Virtualization (NPIV)
  • Partition suspend and resume is supported on POWER8 processor-based mostly servers when the firmware is at stage 8.4.0, or later.
  • PowerVM NovaLink
  • Shared processor pools
  • Shared storage pools
  • Single Root I/O Virtualization (SR-IOV)
  • thin provisioning
  • digital I/O Server (VIOS)
  • virtual network Interface Controller adapters
  • “It has been very dependable with tiny to no downtime. we've been in a position to stretch their IT bucks because the refresh charge on IBM power can hurry for years. also, they now absorb been capable of add many extra VMs to physical machines than different systems can run,” referred to an information heart supervisor in manufacturing.

    Servers/operating systems:

    AIX, Linux and IBM i customers

    “Our enterprise utilizes VMware and PowerVM. VMware is person pleasant and makes assisting home windows OS more straightforward. PowerVM is piteous in that course. PowerVM is greater in for you to prioritize workloads across several VMs and be granular to your reservation of cores and digital CPUs. PowerVM permits you to adjust VM characteristics whereas the VM is up and running,” stated a device Admin in oil & gas.


    PowerVM is a application down load.


    up to a thousand VMs on a unique server.


    10% to 15%


    administration rig corresponding to Hardware management Console (HMC), integrated Virtualization manager (IVM), and PowerVC uphold to aggregate and manage components by using a consolidated rational view. you can earmark processors to partitions in increments of 0.01, which permits varied partitions to partake the processing verve of the equipment. When the firmware is at stage 7.6, or later, micropartitions can also be described as small as 0.05 of a processor and can be modified in increments as small as 0.01 of a processor. A maximum of 20 micropartitions can be created per core.

    A operating AIX, Linux, or IBM i rational partition can be suspended together with its operating device and purposes. that you could partake reminiscence amongst partitions in a shared reminiscence pool, by using PowerVM energetic reminiscence Sharing. vigour Virtualization performance (PowerVP) is a performance monitoring solution that offers targeted and true-time guidance about virtualized workloads which are working on power techniques. which you can utilize PowerVP to reserve in mind how digital workloads utilize supplies, to research performance bottlenecks, and to upshot suggested selections about aid allocation and virtualized machine placement.


    supplied by using other IBM power tools.


    that you may migrate an lively or idle AIX, Linux, or IBM i rational partition from one rig to yet another by using live Partition Mobility.


    vigor methods provide a secured server platform. POWER9 hardware and firmware upshot it much more at ease for cloud deployment with key points for PowerVM servers. Implementation includes:

  • A comfy IPL procedure or comfy Boot which most effective allows for platform manufacturer signed Hostboot and energy Hypervisor (PHYP) linked firmware up via and together with Partition Firmware (PFW) to hurry on the gadget.
  • A framework to uphold far flung Attestation of the gadget firmware stack via a hardware trusted Platform Module (TPM).
  • Key Markets:

    Virtualization for AIX, Linux and IBM i purchasers working IBM verve systems.

    “It could be over engineered for smaller purposes. however, if the infrastructure is in belt that you may reserve it to utilize to hurry Linux VMs as well,” spoke of a gadget Admin in Oil & gas

    can charge:

    beginning at $590 per core, free with another IBM items.


    IBM PowerVM


    AIX, Linux and IBM i shoppers


    a thousand VMs on a unique server

    Overhead %

    10 to 15


    Virtualization for AIX, Linux and IBM i shoppers working IBM energy platforms

    can charge

    $590 per core


    flow lively or idle VMs

    Key Differentiator

    appropriate for IBM environments

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    Kenya: IBM Unveils Its 'Master the Mainframe' Contest in Kenya | existent questions and Pass4sure dumps

    IBM has announced the start of its Master the Mainframe competition in Nairobi, Kenya. The IBM Master the Mainframe Contest, section of the company's System z Academic Initiative, lets students around the world assume imbue of world-class zEnterprise computing platforms and showcase their talents, while learning sought-after enterprise computing skills.

    The competition, which is open to students from every Kenyan universities, has already attracted entries from students at local universities. As a three-part contest which is taking belt in a number of countries, Master the Mainframe serves as an introduction to programming and application evolution and students require no initial mainframe undergo to participate. Through the contest, students learn everything from how to log onto mainframe environments to developing code and problem solving.


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    IBM extends Mainframe Contest to South Africa | existent questions and Pass4sure dumps

    February 28, 2014 • Online & Social, Top Stories

    As section of its Academic Initiative, IBM has extended the IBM Master the Mainframe Contest to South African Universities to uphold and build out skills in next-generation innovations on the mainframe.

     IBM has extended the IBM Master the Mainframe Contest to South African Universities (Image: Wikipedia)

     IBM has extended the IBM Master the Mainframe Contest to South African Universities (Image: Wikipedia)

    IBM has extended the IBM Master the Mainframe Contest to SouthAfrican Universities (Image: Wikipedia)

    The competition lets students utilize IBM’s world-class Enterprise computing platforms to showcase their talents, while learning sought-after enterprise level computing skills. Winners of the South Africa competition will have the opening to compete in the world championships being held in New York later this year.

    As a three-part contest which has now expanded to over 30 countries worldwide, the IBM Master the Mainframe Contest is an introduction to programming and application development, where students require no initial mainframe undergo to participate. Through the contest, students learn everything from how to log onto the mainframe to developing code and problem solving. The competition is open to students from every South African universities and has already attracted over 100 entries from students atlocal universities.

    “Mainframes are essentially the backbone of the global economy as well as the life uphold of most cities infrastructures. As technology evolves, demanding more open, scalable and secure solutions and platforms for cloud, mobile and much data analytics, mainframes are growing in popularity,” said Maurice Blackwood, Executive for Systems , IBM South Africa.

    The fact that 90 percent of the world’s data has been developed over the past few years will impress that advanced systems such as the mainframe continue to be captious tools of success for businesses, especially for those in developing markets such as South Africa.

    The mainframe has been liable for powering several key advances in technology and commerce across Africa. In South Africa, lion’s partake of the large banks are powered by mainframes with the very first mainframe being installed in 1967. In Senegal, the Ministry of Finance in Senegal brought all of its import and export processes from across the country on-line with System z and is now recovering 30 percent of its uncouth National Product, which amounts to two billion Senegalese francs in customs revenue everyday. Through the process, the Ministry increased the performance of its systems by 70 percent, reduced power consumption by 20 percent and cut operating costs by 30 percent.

    “This competition is an incredible opening for students to get practical hands on undergo with the latest mainframe technologies,” said Prof Alta van der Merwe Head of Department at the University of Pretoria, Department of Informatics in the School of Information Technology, and the President of the South African Institute of Computer Scientists and Information Technologists. “It’s also an opening for students to begin to remark how captious mainframes are in running modern applications, and supporting much data and cloud environments.”

    Grant Pentelow, Training Manager at FNB says: “The current reality in the corporate environment is that they undergo a consistent want of mainframe skills which absorb lost momentum to the more favoured web and PC based languages over the ultimate 5 years or more. The IBM competition not only builds skill with those who are not competent with the mainframe but it also builds self-confidence in those who want to extend their skills and gain experience with integrating various languages.”

    Contestants in the IBM Master the Mainframe competition will gain experience with an array of mainframe technologies, including REXX, Java and Linux on System z, among many others. As students complete each section of the contest, judges evaluate their results and reward those who promenade on to the next, more difficult phase. The goal of IBM’s Master the Mainframe Contest is to provide students with the mainframe skills necessary to find those unique and exciting jobs.

    Students and teachers can register by the 1st of March 2014 for the IBM Master the Mainframe Contest by clicking on

    Students who enter the competition also absorb the opening to identify job opportunities supporting mainframe environments. To uphold in this process, IBM has created The job board is a resource to link IBM System z clients and partners with students and professionals seeking System z job opportunities and regularly features over 1,000 mainframe-related jobs.

    Since 2005, over 68,000 students absorb registered to compete in Master the Mainframe Contests around the world.

    Staff writer



    IBMIBM Master the Mainframe ContestSouth AfricaSouth African Universities

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    IBM Db2 Query Optimization Using AI | existent questions and Pass4sure dumps

    In September 2018, IBM announced a recent product, IBM Db2 AI for z/OS. This artificial intelligence engine monitors data access patterns from executing SQL statements, uses machine learning algorithms to resolve on optimal patterns and passes this information to the Db2 query optimizer for utilize 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 depict 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 utilize 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, recollection 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 impress system configuration changes that can ameliorate performance.

    The next step was to implement this suite to resolve 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 general Db2 subsystem performance is an valuable factor in overall application health and performance, IBM estimates that the DBA uphold 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 uphold one or more much data applications, cloud application and database services, software installation and configuration, Db2 subsystem and application performance tuning, database definition and management, disaster recovery planning, and more. Query tuning has been in existence 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 be accessed and develops a list of candidate data access paths. These access paths can include indexes, table scans, various table connect methods and others. In the data warehouse and much data environments there are usually additional choices available. One of these is the existence 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, recollection and other resources. Finally, the Optimizer takes the lowest cost access path, stores it in recollection (and, optionally, in the Db2 Directory) and begins access path execution.

    Big data and data warehouse operations now include software suites that allow the commerce analyst to utilize a graphical interface to build and maneuver 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 Do sterling analytics on your multiple data stores you need a sterling 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 uphold this environment, especially with the most experienced and develope staff nearing retirement?

    Understand also that a large section of reducing the total cost of ownership of these systems is to obtain Db2 applications to hurry 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 benefit from performance tuning, one approach is to automate the detection and correction of tuning issues. This is where machine learning and artificial intelligence can be used to much effect.

    Db2 12 for z/OS and artificial Intelligence

    Db2 version 12 on z/OS uses the machine learning facilities mentioned above to gather 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 utilize the model scoring data as input to its access path altenative algorithm.

    The result should be 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 odds is that using AI software does not require the DBA to absorb data science skills or abysmal 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 be particularly valuable if you store data in multiple places. For example, many analytical queries against much data require concurrent access to inevitable 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 reckon 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 be used by some much data queries. In this environment it is common to assume the dimension tables and copy them regularly to the much data application. In the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now reflect about SQL queries from both operational applications, data warehouse users and much data commerce analysts. From Db2's perspective, every these queries are equal, and are forwarded to the Optimizer. However, in the case of operational queries and warehouse queries they should most likely be directed to access the StoreLocation table in the warehouse. On the other hand, the query from the commerce analyst against much data tables should probably access the copy of the table there. This results in a proliferations of potential access paths, and more work for the Optimizer. Luckily, Db2 AI for z/OS can provide the Optimizer the information it needs to upshot 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 explain operation, an SQL statement is passed to the Optimizer;
  • The Optimizer chooses the data access path; as the altenative is made, Db2 AI captures the SQL syntax, access path altenative and query performance statistics (CPU used, etc.) and passes it to a "learning task";
  • The learning task, which can be 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 also can be 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 also various user interfaces that give the administrator visibility to the status of the accumulated SQL statement performance data and model scoring.


    IBM's machine learning for zOS (MLz) offering is being used to much upshot 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 commerce is prepared to consume these ML and AI conclusions. How will you measure the costs and benefits of using machine learning? Which IT uphold staff must be tasked to reviewing the result of model scoring, and perhaps approving (or overriding) the results? How will you review and warrant the assumptions that the software makes about access path choices?

    In other words, how well Do you know your data, its distribution, its integrity and your current and proposed access paths? This will determine where the DBAs spend 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"

    Reference 2

    Db2 AI for z/OS

    See every articles by Lockwood Lyon

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