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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 name : IBM System z System Programmer Mastery
Vendor name : IBM
exam questions : 130 true Questions

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IBM IBM System z System

IBM (IBM) Up 3.9% on the grounds that final earnings file: Can It continue? | killexams.com true Questions and Pass4sure dumps

A month has passed by considering the fact that the final profits report for IBM (IBM). Shares beget 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 beget reacted as of late, let's buy a short show at the most recent profits document with a purpose to glean a far better deal with on the captious drivers.

IBM this tumble 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 evaluate 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 likewise subsist attributed to larger tax cost.

Revenues of $21.76 billion beget been pretty much in line with the Zacks Consensus evaluate of $21.seventy four billion and declined three.5% on a yr-over-12 months basis. At regular exotic money (cc), revenues dipped 1%. The yr-over-12 months decline can essentially subsist 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 beget an repercussion 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 elope 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 elope rate become $2 billion.

options application contains offerings in strategic verticals like health, domain-selected capabilities like analytics and protection, and IBM’s rising applied sciences of AI and blockchain. The section likewise contains offerings that address horizontal domains like 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 like client experience analytics in commerce region 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 traffic verticals like 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 pair of original purchasers outright 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 outright over the suggested quarter, the IBM Blockchain Platform for IBM Cloud private. a few original deal wins is additionally assisting IBM to reinforce its foothold in blockchain know-how.

global enterprise capabilities Revenues raise

Revenues from global traffic capabilities-exterior segment beget 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 outright three traffic areas particularly consulting, software administration and world system services.

Segmental revenues referring to Strategic Imperatives grew 14%. Cloud ensue surged 34%. Cloud as-a-service salary annual elope 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 elope cost become $eight billion.

Integration software increased four% from the year-in the past quarter. outright 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 benefit 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 beget an effect 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 stout adoption across the latest POWER9-based architecture.

all the course 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 original offerings optimizing both hardware and utility for AI. administration believes that products like PowerAI imaginative and prescient and PowerAI commercial enterprise will assist power original consumer adoption.

despite the fact, storage hardware revenues declined due to vulnerable efficiency in the mid-range conclusion, partly offset via astounding boom in outright gleam Arrays. IBM stated that pricing drive in the immensely competitive storage market is hurting revenues. The enterprise introduced its original FlashSystems with subsequent generation NVMe know-how outright the course 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 indecent margin remained unchanged from the year-in the past quarter at 49.5%. The indecent margin benefited primarily by 190 basis points (bps) enlargement in capabilities margin. youngsters, detrimental amalgamate in IBM Z product cycle utterly offset this enlargement.

operating expense declined 5.three% 12 months over yr, due to attention of acquisition synergies and improving operational efficiencies. IBM continues to effect money into outright of a sudden starting to subsist fields like 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 traffic functions angle 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 angle 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 feeble quarter.

IBM mentioned cash circulation from operations (excluding international Financing receivables) of $7.3 billion and generated free money trek 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 traffic 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.

guidance

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

IBM noiseless anticipates 2019 free cash trek of $12 billion.

How beget Estimates Been relocating considering that Then?

It turns out, fresh estimates flatlined outright 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 recall to subsist drawn to.

Outlook

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

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


analyzing IBM (IBM) & Toshiba (TOSYY) | killexams.com true Questions and Pass4sure dumps

No influence found, are trying original keyword!comprehensive the profile below to glean 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 | killexams.com true 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 punch server platform. indeed, it is likely one of the most replete featured virtulization classes on the market – no surprise, given IBM's deep legacy in the facts middle.

but it may additionally no longer subsist the least difficult platform to enforce. it will require specialists to install it. as a result, mid-sized and immense businesses should noiseless effect fine, but SMBs could subsist 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 benefit supply services in the cloud faster by automating deployment of VMs and storage. it will possibly additionally benefit eliminate downtime via live mobility between servers.

PowerVM 2.2.6 grants business-grade virtualization, proposing the groundwork for cloud computing on IBM punch 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 punch methods.

in the most synchronous free up, IBM has greater tightly integrated PowerVM with the power platform. each POWER9 server comes with POWERVM commercial enterprise version. there is likewise 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 trustworthy with microscopic to no downtime. we've been in a position to stretch their IT bucks because the refresh expense on IBM power can elope for years. also, they now beget 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 touching in that course. PowerVM is greater in for you to prioritize workloads across distinct VMs and subsist 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.

    Implementation:

    PowerVM is a application down load.

    Scalability:

    up to a thousand VMs on a separate server.

    Overhead:

    10% to 15%

    administration:

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

    A operating AIX, Linux, or IBM i logical partition can subsist 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 exercise PowerVP to preserve in mind how digital workloads exercise supplies, to research performance bottlenecks, and to accomplish suggested selections about aid allocation and virtualized machine placement.

    Patching/Backup:

    supplied by using other IBM power tools.

    Migration:

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

    safety:

    vigor methods provide a secured server platform. POWER9 hardware and firmware accomplish 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 effectual allows for platform manufacturer signed Hostboot and energy Hypervisor (PHYP) linked firmware up via and together with Partition Firmware (PFW) to elope on the gadget.
  • A framework to benefit 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 punch systems.

    “It could subsist over engineered for smaller purposes. however, if the infrastructure is in region that you may effect it to exercise to elope Linux VMs as well,” spoke of a gadget Admin in Oil & gas

    can charge:

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

    Product

    IBM PowerVM

    structures

    AIX, Linux and IBM i shoppers

    Scalability

    a thousand VMs on a separate server

    Overhead %

    10 to 15

    Markets

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

    can charge

    $590 per core

    Migration

    flow lively or inert VMs

    Key Differentiator

    appropriate for IBM environments

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    Kenya: IBM Unveils Its 'Master the Mainframe' Contest in Kenya | killexams.com true questions and Pass4sure dumps

    IBM has announced the start of its Master the Mainframe competition in Nairobi, Kenya. The IBM Master the Mainframe Contest, fragment of the company's System z Academic Initiative, lets students around the world buy impregnate 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 outright Kenyan universities, has already attracted entries from students at local universities. As a three-part contest which is taking Place in a number of countries, Master the Mainframe serves as an introduction to programming and application progress and students require no initial mainframe experience 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 | killexams.com true questions and Pass4sure dumps

    February 28, 2014 • Online & Social, Top Stories

    As fragment of its Academic Initiative, IBM has extended the IBM Master the Mainframe Contest to South African Universities to advocate 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 exercise 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 opportunity 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 experience 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 outright 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 advocate of most cities infrastructures. As technology evolves, demanding more open, scalable and secure solutions and platforms for cloud, mobile and immense 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 besubstantive that advanced systems such as the mainframe continue to subsist captious tools of success for businesses, especially for those in developing markets such as South Africa.

    The mainframe has been accountable for powering several key advances in technology and traffic 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 indecent 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 opportunity for students to get practical hands on experience 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 likewise an opportunity for students to begin to behold how captious mainframes are in running modern applications, and supporting immense data and cloud environments.”

    Grant Pentelow, Training Manager at FNB says: “The current reality in the corporate environment is that they experience a consistent lack of mainframe skills which beget lost momentum to the more favoured web and PC based languages over the final 5 years or more. The IBM competition not only builds skill with those who are not competent with the mainframe but it also builds assurance 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 fragment of the contest, judges evaluate their results and reward those who trek 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 ibm.com/university/contest

    Students who enter the competition likewise beget the opportunity to identify job opportunities supporting mainframe environments. To benefit in this process, IBM has created Systemzjobs.com. 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 beget registered to compete in Master the Mainframe Contests around the world.

    Staff writer

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    IBMIBM Master the Mainframe ContestSouth AfricaSouth African Universities

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

    In September 2018, IBM announced a original product, IBM Db2 AI for z/OS. This artificial intelligence engine monitors data access patterns from executing SQL statements, uses machine learning algorithms to conclude on optimal patterns and passes this information to the Db2 query optimizer for exercise 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 portray 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 exercise 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 impress system configuration changes that can help 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 common Db2 subsystem performance is an primary factor in overall application health and performance, IBM estimates that the DBA advocate staff spends 25% or more of its time, " ... fighting access path problems which reason 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 advocate one or more immense 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 being 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 involve indexes, table scans, various table relate methods and others. In the data warehouse and immense data environments there are usually additional choices available. One of these is the being of summary tables (sometimes called materialized query tables) that hold 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 involve software suites that allow the traffic analyst to exercise 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 effect generous analytics on your multiple data stores you need a generous 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 advocate this environment, especially with the most experienced and age staff nearing retirement?

    Understand likewise that a great fragment of reducing the total cost of ownership of these systems is to glean Db2 applications to elope 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 subsist 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 collect 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 exercise the model scoring data as input to its access path election algorithm.

    The result should subsist a reduction in CPU consumption as the Optimizer uses model scoring input to elect 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 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 primary if you store data in multiple places. For example, many analytical queries against immense data require concurrent access to sure data warehouse tables. These tables are commonly called dimension tables, and they hold the data elements usually used to control subsetting and aggregation. For example, in a retail environment deem 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 immense data queries. In this environment it is common to buy the dimension tables and copy them regularly to the immense data application. In the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now deem about SQL queries from both operational applications, data warehouse users and immense data traffic analysts. From Db2's perspective, outright 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 traffic analyst against immense 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 accomplish 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 accountfor operation, an SQL statement is passed to the Optimizer;
  • The Optimizer chooses the data access path; as the election is made, Db2 AI captures the SQL syntax, access path election 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 much effect in Db2 version 12 to help the performance of analytical queries as well as operational queries and their associated applications. This requires management attention, as you must verify that your traffic is prepared to consume these ML and AI conclusions. How will you measure the costs and benefits of using machine learning? Which IT advocate 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 effect 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 outright articles by Lockwood Lyon



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