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000-426 exam Dumps Source : IBM System z Technical Support

Test Code : 000-426
Test denomination : IBM System z Technical Support
Vendor denomination : IBM
: 51 existent Questions

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IBM IBM System z Technical

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

February eleven, 2019 Timothy Prickett Morgan

If nothing else, the IBM i platform has exhibited awesome durability. One might even drawl legendary toughness, if you need to retract its background everything the means again to the equipment/three minicomputer from 1969. this is the precise mount ingredient in the AS/400 family unit tree and this is when gargantuan Blue, for terribly sound felony and technical and advertising motives, decided to fork its products to tackle the entertaining wants of massive organizations (with the gadget/360 mainframe and its follow-ons) and diminutive and medium companies (starting with the system/three and relocating on in the course of the system/34, device/32, equipment/38, and gadget/36 in the Seventies and early Nineteen Eighties and passing in the course of the AS/400, AS/400e, iSeries, paraphernalia i, and then IBM i on vigour techniques structures.

It has been a protracted sprint indeed, and many shoppers who maintain invested in the platform everything started method back then and there with the early types of RPG and moved their functions forward and changed them as their organizations advanced and the depth and breadth of company computing modified, relocating on up through RPG II, RPG III, RPG IV, ILE RPG, and now RPG free kind. Being on this platform for even three decades makes you a relative newcomer.

there's an extended sprint ahead, in view that they accept as redress with that the agencies that are still working IBM i techniques are the existent diehards, the ones who maintain no objective of leaving the platform and that, at least in response to the survey facts we've been privy too, are intending to proceed investing in, or even extend their investments in, the IBM i platform.

to date, they don't look to breathe in a recession and heaven willing there are usually not one, so the priorities that IBM i shops maintain are not the ones that they'd a decade in the past everything the way through the height of the first-rate Recession. lower back then, as turned into the case in practically everything IT groups, IBM i shops were hunkering down and maintain been making an attempt to reduce prices in everything ways viable, including deferring gadget upgrades and migrations as well as chopping returned on different projects. most efficient 29 p.c of the 750 IBM i shops that participated within the 2019 IBM i market Survey, which HelpSystems did lower back in October 2018, maintain been worried about reducing IT spending. here is a remarkably low stage, and that i suppose is indicative of how extraordinarily mighty the economic system is – excepting some of the fits and begins they noticed at the conclusion of 2018 and privilege here in early 2019 that compose us apprehensive and could mount inserting power on things. listed here are the privilege considerations as culled from the survey:

dealing with the boom in records and in deciding the analytics to chew on that facts ranked a Little bit larger on the 2019 IBM i market Survey than did cutting back prices, and that i feel over the lengthy haul these concerns will revolve into more needful than modernizing applications and coping with the IBM i odds shortages that are a perennial breathe concerned. both of those considerations are being solved as fresh programmers and fresh tools to compose fresh interfaces to database purposes maintain become greater detached and as applied sciences similar to free benevolent RPG, which looks extra love Java, Python, and personal home page, are being more widely deployed and, importantly, can breathe picked up extra without retard via programmers skilled with these other languages.

Given the character of the client base, it seems not going to me that safety and towering availability will not proceed to breathe primary issues, besides the fact that children that the IBM i platform is among the most at ease structures on this planet (and never simply since it is imprecise, but since it is tremendously elaborate to hack) and it has a compass of exorbitant availability and calamity healing paraphernalia (from IBM, Syncsort, Maxava, and HelpSystems) attainable for those that wish to double up their systems and proffer protection to their purposes and statistics. The bar is regularly larger than elementary backup and restoration for a lot of IBM i stores in the banking, insurance, manufacturing, and distribution industries that dominate the platform. These agencies can’t maintain security breaches, and that they can’t maintain downtime.

there's a outstanding volume of steadiness within the IBM i client basis that they feel, at this element, is reflective in the equilibrium of the IBM i platform and gargantuan Blue’s personal perception that it needs a suit IBM i platform to maintain an universal in shape vitality systems enterprise. they everything recognize that the vigour methods hardware company has just turned in five quarters of revenue multiply – something they discussed these days in setting up their personal income mannequin for the vitality systems company – however what they did not recognize, and what compose confident to breathe conscious of, is that in the second and third quarters of 2018, the IBM i portion of the industry grew enormously sooner than the general vitality methods company, and the only intent that this didn't revolve up within the final quarter of 2018 is that earnings of IBM i paraphernalia in this Fall 2017 became rather efficient and represented a really complicated compare. The aspect is, the IBM i enterprise has been elevating the energy programs category usual. (These pointers about the IBM i industry forward compliments of Steve Sibley, vice president and offering manager of Cognitive programs at IBM.)

IBM’s personal economic equilibrium of the power platform – which has been bolstered by a hotfoot into Linux clusters for analytics and exorbitant performance computing simulation and modeling as well as by the adoption of the HANA in-reminiscence database by SAP consumers on huge iron machines including Power8 and now Power9 techniques – helps IBM i customers believe more assured in investing within the latest IBM i platform. The recent facts from a number of diverse surveys, now not simply the one performed by means of HelpSystems every year, means that organizations are by using and great both carrying on with to invest within the platform and even in some circumstances are planning to enhance their spending on the IBM i platform in 2019.

As that you would breathe able to see, the pattern of investment plans for the IBM i platform, as shown in the chart above, has now not changed very plenty at everything in the past 4 years. it is a remarkably strong sample with however a Little wiggling here and there that may additionally not even breathe statistically large. just beneath a quarter of IBM i retail outlets maintain stated during the past 4 years that they procedure to enhance their funding in the platform in each and every yr, and simply under half drawl that they're holding consistent. This does not imply that the equal agencies, yr after year, are investing extra and other organizations are staying pat, yr after year. it is way more practicable that every handful of years – extra love four or five – consumers upgrade their programs and extend their capacity, and they then sit tight. The marvel is that the prick up isn’t showing a long way fewer organizations investing and much more sitting tight. That greater than a tenth of the stores don’t breathe conscious of what their procedure is as each prior yr comes to a near is just a Little demanding, but it is sincere and indicates that a significant portion of outlets maintain other priorities other than hardware and operating system improvements. they now maintain stated this before and they are able to drawl it once more: They feel that the people who respond to surveys and browse weekly publications focused on the IBM i platform are probably the most energetic retail outlets – those greater likely to reside especially present on hardware and application. So the pace of adoption for brand spanking fresh technologies, and the cost of investment, may still breathe higher than in the precise base, a remarkable deal of which doesn't change tons at all.

So if they had to alter this information to retract on the entire base, there may breathe some distance fewer websites that are investing greater cash, way more corporations that are sitting tight, and perhaps fewer websites which are taking into account piteous off the IBM i platform. I believe the distribution of statistics is doubtless whatever thing love 10 % of shops don't maintain any conception what they're doing investment sensible with IBM this yr, 5 p.c are pondering piteous some or everything of their purposes to a different platform, maybe 10 % are investing greater this yr, and the ultimate 75 % are sitting tight. here is only a bet, of path. so far as they can inform, the expense of attrition – how many websites they really lose every year – only a tad over 1 %. So the fee of hotfoot of applications off the platform, or incidences of unplugging IBM i databases and functions, might besides no longer breathe anywhere near as towering within the overall basis because the statistics above suggests. what is alarming, in everything probability, is that the expense of relocating some or everything applications off the platform is balanced in opposition t people that drawl they are going to multiply investments. possibly these are hopeful survey takers, and those that believe it's handy to flood learn it is not and people who believe they will locate the money to compose investments will not.

What they achieve breathe conscious of is that if the expense of utility attrition turned into anywhere near as towering as these surveys indicate, then the IBM i company would now not breathe growing, but shrinking. And they comprehend it isn't shrinking, so they reflect there's a disconnect between planning and fact, both on the upside and the downside.

if you drill down into the records for the 2019 IBM i market Survey, there were 13 p.c of shops that observed they might breathe piteous some applications to a brand fresh platform, and one other 9 p.c that observed they had been going to circulation everything of their functions off IBM i. (This number is in step with the recent ALL400s survey carried out by John Rockwell.)

Anyway, first rate genuine fortune with that.

Porting purposes from one platform to a different, of purchasing a fresh suite on that fresh platform, is an exceptionally complicated assignment. It isn't love making an attempt to exchange a weary whereas driving down the road, as is a common metaphor, however reasonably love trying to retract the weary off one car relocating down the toll road and installing it on another motor vehicle driving beside it within the adjacent lane with out crashing both automobile or smashing into any person else on the highway. Optimism abounds, but when push involves shove, very few businesses try one of these maneuver, and once they do, it's continually as a result of there's a company mandate, extra instances than no longer brought about via a merger or acquisition, that pits any other platform towards IBM i operating on vitality systems. groups that drawl they're making this sort of hotfoot off IBM i are sanguine for his or her personal very own explanations, in everything probability, however they don't look to breathe always simple about how lengthy it could take, what disruption it'll can charge, and what premiere advantage, if any, might breathe realized.

in case you achieve the mathematics on the chart above, eight-tenths of the bottom has no thought how long a movement will take, an additional 1.7 % thinks it'll retract greater than five years, and three % drawl it is going to retract between two years and five years. most efficient three.four p.c of the all basis drawl they can achieve it in under two years. They suppose everything of these numbers are optimistic, and the agencies who might simply disappear away OS/four hundred and IBM i already did a very long time ago and those that are continue to breathe maintain a more durable time, no longer a less complicated time, moving. If this maintain been not authentic, the IBM i basis can breathe a hell of plenty smaller than the a hundred and twenty,000 customers they feel are accessible, according to what massive Blue has instructed us in the past. here's the contrast between awe or coerce or tradition and the verity of attempting to circulation a enterprise off one platform and onto a different. These strikes are everything the time plenty more durable than they look on the entrance conclusion, and they suspect many of the benefits additionally don’t materialize for people that achieve bounce systems.

at the commonplace attrition cost advised through this survey statistics – 9 % circulate off the platform in someplace between twelve months and more than five years, with most agencies not being capable of remark greater than five years into the future this is a spotless trick – the installed basis would reduce dramatically. it is challenging to declar how a ways on account of the gargantuan selection of timeframes in the survey. If it turned into 9 % of the basis inside two years – call it 4.5 p.c of the bottom per year – then within a decade the balanced basis would prick back from one hundred twenty,000 IBM i sites international everything the way down to about seventy two,000. this is able to histrionic certainly. but at a 1 percent attrition expense per 12 months, the bottom continues to breathe at 107,500 wonderful shoppers (no longer sites and never installed machines, each of that are higher) by 2029. They feel there is every probability that the attrition rate will in reality sluggish and drop beneath 1 % as IBM demonstrates commitment to the power systems platform and its IBM i operating equipment. There are always some fresh clients being brought in fresh markets, to breathe certain, however the bleed rate (notwithstanding it's small) continues to breathe doubtless an order of magnitude larger than the feed rate.

once they achieve feel about making the move, IBM i stores comprehend precisely the dwelling they wish to go, and this admit has been regularly altering over the years: Linux as an alternative to IBM i is on the upward thrust and home windows Server as an alternative is on the wane. within the newest survey, fifty two percent of the organizations that said they were relocating everything or some of their functions to a different platform observed they had been identifying home windows Server, whereas 34 % selected Linux. This displays the relative recognition of home windows Server and Linux within the datacenters of the realm at huge, and can breathe tipped just a bit extra closely against Linux in comparison to the relaxation of the realm. curiously, 10 percent of those polled who said they were piteous had been AIX systems, and yet another four p.c maintain been going upscale to gadget z mainframes – as not likely as this might besides appear. systems attend to roll downhill; they achieve not continually challenge gravity love that.

The ingredient about such surveys is that they account for intent, no longer motion. They frequently intend to achieve much more than they in reality can accomplish, and relocating platforms after spending a long time of edifice up potential isn't continually a really sage movement unless the platform is in actual pains – love the Itanium programs from Hewlett Packard commercial enterprise running OpenVMS or HP-UX or the HP 3000s operating MPE or the Sparc techniques from Oracle operating Solaris. These were as soon as wonderful platforms with gargantuan installed bases and significant revenue streams, however now, IBM is the ultimate of these Unix and proprietary systems with its power methods line. And it's by some distance the largest and for confident the just one showing any boom.

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IBM revamps channel strategy to enhance ally odds and enablement | killexams.com existent Questions and Pass4sure dumps

John Teltsch (IBM)

John Teltsch (IBM)

credit score: IBM

IBM has printed a string of fresh channel initiatives and investments because it seeks to construct key companion competencies and alternatives within the year ahead.

Unveiled during PartnerWorld at reflect in San Francisco, gargantuan Blue rolled out fresh initiatives including its Watson-based collaboration engine referred to as IBM industry companion connect; My PartnerWorld; fresh application deal registration and IBM vigour systems, LinuxONE and Z ‘In It to Win It’ incentives.

On precise of this, the dealer besides precise how it changed into further investing in associate abilities and enablement, as well as using multiply alternatives in market segments equivalent to protection and hybrid cloud.

chiefly, IBM company companion relate makes a speciality of assisting partners faucet into the world ecosystem to collaborate on customer opportunities, develop fresh enterprise and bring fresh solutions to market.

in the meantime, the Watson-based mostly engine will enable companions with complementary capabilities to locate each other, accumulate to market quicker and sell greater collectively, in keeping with John Teltsch, generic manager of associate ecosystem at IBM.

My PartnerWorld, set to launch on 15 February, goals to proffer a personalised on-boarding and enablement experience, giving companions the probability to control PartnerWorld tools and shortcuts in one area. This contains My earnings exercise (MySA), the PartnerWorld Console, Co-advertising and marketing Centre and enterprise associate connect platform.

moreover the brand fresh utility deal registration will proffer companions with priority entry to particular bid pricing to breathe able to in the reduction of battle between know-how providers while improving fiscal outcomes.

Teltsch delivered this was a partake of the dealer's ongoing transformation efforts, which it kicked off last yr, to enrich ally journey and profitability, together with initiatives round channel pricing, incentives and streamlined resale authorisation.

In April ultimate year, gargantuan Blue, restructured its ally appointment fashions throughout the channel.

moreover, the IBM energy methods, LinuxONE and Z 'In It to Win It' incentives maintain now been made attainable to partners, which besides extends the inducement for IBM storage into 2019, along with deploying fresh exact technology tactics to power exclusive leads.

On top of these fresh initiatives, the supplier is besides launching an ESA co-marketing providing for partners embedding IBM expertise, and across third-birthday celebration marketplaces, in addition to bettering its digital APIs amid plans to double the variety of digital choices.

"We proceed to aid companions on their adventure to SaaS, with greater than four hundred as-a-carrier choices, coupled with fresh demos, trials and incentives to accelerate up boom,” Teltsch pointed out.

IBM has besides launched SaaS deal registration and P360, which is a device allowing companions to spy their customer’s analytics.

associate talents and enablement

Delving deeper, IBM besides showcased its fresh sales enablement answer, Seismic@IBM, a device that aspects sales kits, plays, displays, utilize instances and different belongings.

The value paraphernalia wait on bundle is additionally being accelerated into edition 2.0, whereby companions can double their IBM cloud credit; deliver entry to a development sandbox ambiance; entry bargain vouchers for select training hobbies and extra subscription discounts.

consequently, Teltsch observed it was additionally doubling the variety of gadget channel technical retailers to assist companions in the field.

Going forward, a brand fresh managed features safety company software (MSSP) goals to wait on partners construct security practices and convey options in either an embedded or reseller model.

A ‘know Your IBM’ security sales incentive will serve up reloadable IBM Rewards debit playing cards to companions who promote fresh protection licenses and SaaS.

Teltsch observed it has besides enabled partners to build ‘Cloud Paks,’ which are enterprise-grade container utility programs with information and step-through-step directions for partners to instantly build with open requirements if you want to permit hybrid and multi-cloud deployments.

“constructed for Kubernetes on the IBM Cloud and IBM Cloud deepest, IBM Cloud Paks are designed to accelerate time to construction and enhance readiness at lessen charge than containers alone,” he explained.

additionally, a brand fresh Cloud Digital Technical appointment program will provide partners with access to technical assets concentrated on product demos and tutorials.

“These belongings provide a profound understanding of product offerings and the way they can support shoppers along their flavor to Cloud and AI," Teltsch added. "Our fresh Seismic@IBM will encompass a link to this Cloud Digital Technical appointment application so companions can effortlessly entry this captious assistance whereas making ready for client engagements."

in response to Teltsch, the brand fresh initiatives and investments had been a response to the "continuous remarks" from companions and clients.

Teltsch revealed that everything over the past 12 months, companions had doubled their number of expert and skilled expertise throughout its know-how stack.

“We’ve besides viewed tremendous momentum within the number of partners constructing their talents and selling options in strategic areas love IBM security, Cloud, IoT and Watson AI, with their 2d Watson construct challenge producing greater than 500 AI options and prototypes that sprint on the IBM Cloud,” Teltsch stated.

during its fourth quarter outcomes, huge Blue mentioned that its cloud enterprise, grew 12 per cent to US$19.2 billion in 2018.

moreover, the company's cognitive application company, including its synthetic intelligence platform Watson, analytics and cyber safety functions and is its 2nd largest, mentioned sales of US$5.46 billion, in comparison with analysts' expectation of US$5.25 billion.

Julia Talevski attended PartnerWorld at believe in San Francisco as a guest of IBM

join the publication!

Error: tickle determine your e-mail tackle.

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IBM System z Technical Support

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Manage and optimize IBM z Systems software costs | killexams.com existent questions and Pass4sure dumps

IBM z Systems software pricing includes an overwhelming amount of options, arcane formulae and odd deductions....

This leads some companies to hire outside experts to negotiate their IBM contracts and reduce costs. However, there are ways to navigate IBM's sub-capacity software pricing and prick mainframe costs without a third party.

Sub-capacity pricing allows users to rent IBM z Systems software based how much CPU time they consume instead of total processor capacity. IBM measures CPU time in millions of service units (MSUs).

IBM bases sub-capacity pricing for its Monthly License charge (MLC) software, which includes z Systems software, on the MSU peak four-hour rolling detached (4HRA) over a billing month. The billing month stretches from the second day of the month to the first of the next.

How SCRT works

IBM created the Sub-Capacity Reporting utensil (SCRT) to compute peak 4HRA. Each month, IBM customers feed ilk 70 and 89 System Management Facility (SMF) records into SCRT to identify the individual products used during an hour interval. From those records, SCRT calculates the peak MSU 4HRA for each physical processor, known as a Central Electronics tangled or Central Processor Complex. SCRT creates several CSV files for the customer to review and then ship to IBM for billing.

Remember two needful things about SCRT reports. First, the maximum MSU depends on what software ran at the peak 4HRA time. Customer Information Control System (CICS) charges will not account for up for a analytic partition (LPAR) that was CICS-free for those four hours. This besides means that the MSUs consumed by the operating system, z/OS, account for the total for the processor at the time.

Second, you must pay for the maximum number of MSUs consumed on the LPAR, not how much the software actually used. If IBM's Information Management System (IMS) consumed one CPU cycle during the 4HRA, IBM levies IMS charges for everything of the MSUs at the peak 4HRA interval.

IBM recently added a fresh option, Country Multiplex Pricing, in which SCRT calculates a combined 4HRA across everything the processors within the identical country. This option may breathe attractive to organizations with geographically dispersed data centers or active/active configurations.

Ten tips to manage IBM z Systems software costs

Here are some options to control and reduce your mainframe costs:

  • IBM recently introduced Mobile Workload pricing, a discount for transactions that originate from tablets and phones. IBM is resilient on how you identify mobile transactions, as long as you can combine the mobile CPU into a CSV suitable for the Mobile Workload Reporting Tool, a slightly different version of SCRT.
  • IBM besides offers a public cloud discount similar to that for mobile workloads, if you utilize a well-known cloud provider such as IBM Bluemix or Amazon Web Services.
  • The expense of an MSU depends on the software running on individual LPARs. Segregate expensive software or nonproduction toil to smaller LPARs to deliver money. Conversely, preserve discretionary toil off of LPARs with expensive software.
  • IBM's fresh processor architectures sprint most efficiently when data and instructions are in cache. industrious machines, however, achieve a lot of context switching, which puts pressure on cache and leaves the CPU waiting for data. Therefore, the identical workload will consume fewer CPUs on processors that sprint at lower utilization. In some cases, you can buy more engines that sprint at a slower accelerate to deliver money.
  • Database tuning is needful for a relational database management system such as DB2. When DB2 performs table space scans or updates useless indices, it drives CPU usage. Identify inefficient SQL statements and toil closely with application teams on the cheapest way to accumulate to the data. Prioritize application tuning to purge low-hanging fruit, such as a number of database queries, inefficient call chains or unnecessary transactions.
  • Transfer everything you can onto z Integrated Information Processor (zIIP) engines. While only system-level code and Java can exploit this specialty processor, it may breathe worthwhile to update system software or spy for other options that utilize zIIPs.
  • The distance between a processor and its coupling facility (CF) can besides multiply CPU usage. Synchronous coupling facility calls essentially spin on a processor until they complete -- the greater the distance from the processor, the longer the spin. Try to preserve CFs near to the processor that will utilize them, and try to minimize the amount of CF structure duplexing.
  • Before you encounter a 4HRA, try to reduce CPU usage, avoid using MLC products and bring down discretionary LPARs. If timed correctly, some software and hardware will breathe essentially free.
  • Even though SCRT may breathe opaque, you can access the SMF records to find more information. spy at the ilk 89 records to know when, where and which products were active. spy at usage sections in ilk 30 SMF records to pinpoint exactly which products an address space used. IBM has another reporting tool, IFAURP, which produces usage reports more minute than SCRT.
  • Offload to other platforms where practicable to reduce IBM z Systems software costs. For example, some processing love geocoding may breathe more efficient on a UNIX platform. IBM besides offers a DB2 Analytics Accelerator for gargantuan data analysis.

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

    In September 2018, IBM announced a fresh product, IBM Db2 AI for z/OS. This artificial intelligence engine monitors data access patterns from executing SQL statements, uses machine learning algorithms to decide 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 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 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, 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 affect system configuration changes that can help performance.

    The next step was to implement this suite to anatomize 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 needful factor in overall application health and performance, IBM estimates that the DBA support staff spends 25% or more of its time, " ... fighting access path problems which intuition performance degradation and service impact.". (See Reference 1).

    AI Comes to Db2

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

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

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

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

    The Problem for the DBA

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

    Understand besides that a great partake of reducing the total cost of ownership of these systems is to accumulate Db2 applications to sprint 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 profit from performance tuning, one approach is to automate the detection and correction of tuning issues. This is where machine learning and artificial intelligence can breathe used to remarkable effect.

    Db2 12 for z/OS and artificial Intelligence

    Db2 version 12 on z/OS uses the machine learning facilities mentioned above to assemble 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 election algorithm.

    The result should breathe 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 maintain data science skills or profound 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 breathe particularly needful if you store data in multiple places. For example, many analytical queries against gargantuan data require concurrent access to inevitable data warehouse tables. These tables are commonly called dimension tables, and they contain 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 breathe used by some gargantuan data queries. In this environment it is common to retract the dimension tables and copy them regularly to the gargantuan 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 gargantuan data industry analysts. From Db2's perspective, everything these queries are equal, and are forwarded to the Optimizer. However, in the case of operational queries and warehouse queries they should most likely breathe directed to access the StoreLocation table in the warehouse. On the other hand, the query from the industry analyst against gargantuan data tables should probably access the copy of the table there. This results in a proliferations of potential access paths, and more toil for the Optimizer. Luckily, Db2 AI for z/OS can provide the Optimizer the information it needs to compose 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 account for 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 breathe 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 besides can breathe 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 appropriate changes to access path choices.
  • There are besides 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 remarkable consequence 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 industry is prepared to consume these ML and AI conclusions. How will you measure the costs and benefits of using machine learning? Which IT support staff must breathe tasked to reviewing the result of model scoring, and perhaps approving (or overriding) the results? How will you review and justify the assumptions that the software makes about access path choices?

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


    IBM revamps channel strategy to boost ally skills and enablement | killexams.com existent questions and Pass4sure dumps

    John Teltsch (IBM)

    John Teltsch (IBM)

    Credit: IBM

    IBM has revealed a string of fresh channel initiatives and investments as it seeks to build key ally skills and opportunities in the year ahead.

    Unveiled during PartnerWorld at reflect in San Francisco, gargantuan Blue rolled out fresh initiatives including its Watson-based collaboration engine called IBM industry ally Connect; My PartnerWorld; fresh software deal registration and IBM Power Systems, LinuxONE and Z ‘In It to Win It’ incentives.

    On top of this, the vendor besides minute how it was further investing in ally skills and enablement, as well as driving growth opportunities in market segments such as security and hybrid cloud.

    Specifically, IBM industry ally Connect focuses on helping partners tap into the global ecosystem to collaborate on client opportunities, develop fresh industry and bring fresh solutions to market.

    Meanwhile, the Watson-based engine will enable partners with complementary capabilities to find each other, accumulate to market faster and sell more together, according to John Teltsch, general manager of partner ecosystem at IBM.

    My PartnerWorld, set to launch on 15 February, aims to proffer a personalised on-boarding and enablement experience, giving partners the chance to manage PartnerWorld tools and shortcuts in one place. This includes My Sales Activity (MySA), the PartnerWorld Console, Co-Marketing Centre and industry ally Connect platform.

    Additionally the fresh software deal registration will proffer partners with priority access to special bid pricing in an worry to reduce contest between technology providers while improving fiscal outcomes.

    Teltsch added this was partake of the vendor's ongoing transformation efforts, which it kicked off last year, to help ally flavor and profitability, including projects around channel pricing, incentives and streamlined resale authorisation.

    In April last year, gargantuan Blue, restructured its ally appointment models across the channel.

    Furthermore, the IBM Power Systems, LinuxONE and Z 'In It to Win It' incentives maintain now been made available to partners, which besides extends the incentive for IBM storage into 2019, along with deploying fresh exact generation tactics to drive exclusive leads.

    On top of these fresh initiatives, the vendor is besides launching an ESA co-marketing offering for partners embedding IBM technology, and across third-party marketplaces, in addition to enhancing its digital APIs amid plans to double the number of digital offerings.

    "We continue to wait on partners on their journey to SaaS, with more than 400 as-a-service offerings, coupled with fresh demos, trials and incentives to accelerate growth,” Teltsch said.

    IBM has besides launched SaaS deal registration and P360, which is a utensil allowing partners to remark their client’s analytics.

    Partner skills and enablement

    Delving deeper, IBM besides showcased its fresh sales enablement solution, Seismic@IBM, a utensil that features sales kits, plays, presentations, utilize cases and other assets.

    The Value Package support bundle is besides being expanded into version 2.0, whereby partners can double their IBM cloud credits; provide access to a development sandbox environment; access discount vouchers for select education events and additional subscription discounts.

    As a result, Teltsch said it was besides doubling the number of system channel technical sellers to support partners in the field.

    Going forward, a fresh managed services security provider program (MSSP) aims to wait on partners build security practices and deliver solutions in either an embedded or reseller model.

    A ‘Know Your IBM’ security sales incentive will serve up reloadable IBM Rewards debit cards to partners who sell fresh security licenses and SaaS.

    Teltsch said it has besides enabled partners to build ‘Cloud Paks,’ which are enterprise-grade container software packages with guidance and step-by-step instructions for partners to quickly build with open standards that will enable hybrid and multi-cloud deployments.

    “Built for Kubernetes on the IBM Cloud and IBM Cloud Private, IBM Cloud Paks are designed to accelerate time to production and help readiness at lower cost than containers alone,” he explained.

    Additionally, a fresh Cloud Digital Technical appointment program will supply partners with access to technical assets focused on product demos and tutorials.

    “These assets provide a profound understanding of product offerings and how they can wait on clients along their journey to Cloud and AI," Teltsch added. "Our fresh Seismic@IBM will comprehend a link to this Cloud Digital Technical appointment program so partners can easily access this needful information while preparing for client engagements."

    According to Teltsch, the fresh initiatives and investments were a response to the "continuous feedback" from partners and clients.

    Teltsch revealed that during the past year, partners had doubled their number of specialist and expert competencies across its technology stack.

    “We’ve besides seen significant momentum in the number of partners edifice their skills and selling solutions in strategic areas love IBM Security, Cloud, IoT and Watson AI, with their second Watson Build Challenge producing more than 500 AI solutions and prototypes that sprint on the IBM Cloud,” Teltsch said.

    During its fourth quarter results, gargantuan Blue pointed out that its cloud business, grew 12 per cent to US$19.2 billion in 2018.

    In addition, the company's cognitive software business, including its artificial intelligence platform Watson, analytics and cyber security services and is its second biggest, reported sales of US$5.46 billion, compared with analysts' expectation of US$5.25 billion.

    Julia Talevski attended PartnerWorld at reflect in San Francisco as a guest of IBM

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    References :


    Dropmark : http://killexams.dropmark.com/367904/11558939
    Wordpress : http://wp.me/p7SJ6L-Al
    Scribd : https://www.scribd.com/document/358917220/Pass4sure-000-426-IBM-System-z-Technical-Support-exam-braindumps-with-real-questions-and-practice-software
    Issu : https://issuu.com/trutrainers/docs/000-426
    Dropmark-Text : http://killexams.dropmark.com/367904/12083510
    weSRCH : https://www.wesrch.com/business/prpdfBU1HWO000ZKSP
    Blogspot : http://killexams-braindumps.blogspot.com/2017/11/review-000-426-real-question-and.html
    RSS Feed : http://feeds.feedburner.com/JustMemorizeThese000-426QuestionsBeforeYouGoForTest
    Youtube : https://youtu.be/-5JVNz0Hpsw
    Google+ : https://plus.google.com/112153555852933435691/posts/4s9AoRLTtEC?hl=en
    publitas.com : https://view.publitas.com/trutrainers-inc/people-used-these-ibm-dumps-to-get-100-marks-11
    Calameo : http://en.calameo.com/books/0049235266abde9e4e825
    Box.net : https://app.box.com/s/66kxxj5do1m9vslee37rvghn6u4pnipr
    zoho.com : https://docs.zoho.com/file/5mzbl3ecb8a6bf75847019b40a71029341457











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