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000-426 | IBM System z Technical Support

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000-426 - IBM System z Technical Support - braindump

Vendor IBM
Exam Number 000-426
Exam Name IBM System z Technical Support
Questions 51 Q & A
Recent Update February 14, 2019
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000-426 exam Dumps Source : IBM System z Technical Support

Test Code : 000-426
Test Name : IBM System z Technical Support
Vendor Name : IBM
Q&A : 51 Real Questions

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

February eleven, 2019 Timothy Prickett Morgan

If nothing else, the IBM i platform has exhibited awesome durability. One might even say legendary toughness, if you need to take its background all the means again to the equipment/three minicomputer from 1969. this is the precise beginning element in the AS/400 family unit tree and this is when big 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 small 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, equipment i, and then IBM i on vigour techniques structures.

It has been a protracted run indeed, and many shoppers who have invested in the platform all 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 run ahead, in view that we accept as true with that the agencies that are still working IBM i techniques are the real diehards, the ones who have no intention 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, we don't seem to be in a recession and heaven willing there are usually not one, so the priorities that IBM i shops have are not the ones that they'd a decade in the past all the way through the height of the first-rate Recession. lower back then, as turned into the case in practically all IT groups, IBM i shops were hunkering down and have been making an attempt to reduce prices in all ways viable, including deferring gadget upgrades and migrations as well as chopping returned on different projects. most effective 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, have 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 we noticed at the conclusion of 2018 and right here in early 2019 that make us apprehensive and could beginning inserting power on things. listed here are the right 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 turn into more important than modernizing applications and coping with the IBM i advantage shortages that are a perennial be concerned. both of those considerations are being solved as new programmers and new tools to make new interfaces to database purposes have become greater average and as applied sciences similar to free kind RPG, which looks extra like Java, Python, and personal home page, are being more widely deployed and, importantly, can be picked up extra without delay via programmers skilled with these other languages.

Given the character of the client base, it seems not going to me that safety and high availability will not proceed to be 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 range of excessive availability and disaster healing equipment (from IBM, Syncsort, Maxava, and HelpSystems) attainable for those that wish to double up their systems and offer 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 have security breaches, and that they can’t have downtime.

there's a outstanding volume of steadiness within the IBM i client base that we feel, at this element, is reflective in the balance of the IBM i platform and big Blue’s personal perception that it needs a suit IBM i platform to have an universal in shape vigor systems enterprise. we all recognize that the vigour methods hardware company has just turned in five quarters of revenue increase – something we discussed these days in setting up our personal income mannequin for the vigor systems company – however what we did not recognize, and what make sure to be aware of, is that in the second and third quarters of 2018, the IBM i portion of the business grew enormously sooner than the general vigor methods company, and the only intent that this didn't turn up within the final quarter of 2018 is that earnings of IBM i equipment in this fall 2017 became rather effective 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 business come compliments of Steve Sibley, vice president and offering manager of Cognitive programs at IBM.)

IBM’s personal economic balance of the power platform – which has been bolstered by a move into Linux clusters for analytics and excessive 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 large 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 be 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 all in the past 4 years. it is a remarkably strong sample with however a little wiggling here and there that may additionally not even be statistically large. just beneath a quarter of IBM i retail outlets have stated during the past 4 years that they plan to enhance their funding in the platform in each and every yr, and simply under half say 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 possible that every handful of years – extra like four or five – consumers upgrade their programs and extend their capacity, and they then sit tight. The wonder is that the cut 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 be aware of what their plan is as each prior yr comes to a close is just a little demanding, but it is sincere and indicates that a significant portion of outlets have other priorities other than hardware and operating system improvements. we now have stated this before and we are able to say it once more: We 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 new technologies, and the cost of investment, may still be higher than in the precise base, a great deal of which doesn't change tons at all.

So if we had to alter this information to take on the entire base, there may be 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 moving off the IBM i platform. I believe the distribution of statistics is doubtless whatever thing like 10 % of shops don't have any conception what they're doing investment sensible with IBM this yr, 5 p.c are pondering moving some or all 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 we can inform, the price of attrition – how many websites we really lose every year – only a tad over 1 %. So the fee of move of applications off the platform, or incidences of unplugging IBM i databases and functions, might also no longer be anywhere near as high within the overall base because the statistics above suggests. what is alarming, in all probability, is that the expense of relocating some or all applications off the platform is balanced in opposition t people that say they are going to increase investments. possibly these are hopeful survey takers, and those that believe it's handy to flow discover it is not and people who believe they will locate the money to make investments will not.

What we do be aware of is that if the expense of utility attrition turned into anywhere close as high as these surveys indicate, then the IBM i company would now not be growing, but shrinking. And we comprehend it isn't shrinking, so we think 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 be moving some applications to a brand new platform, and one other 9 p.c that observed they had been going to circulation all of their functions off IBM i. (This number is in step with the recent ALL400s survey carried out by John Rockwell.)

Anyway, first rate good fortune with that.

Porting purposes from one platform to a different, of purchasing a new suite on that new platform, is an exceptionally complicated assignment. It isn't like making an attempt to exchange a tire whereas driving down the road, as is a common metaphor, however reasonably like trying to take the tire 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 vigor systems. groups that say they're making this sort of move off IBM i are sanguine for his or her personal very own explanations, in all probability, however they don't seem to be always simple about how lengthy it could take, what disruption it'll can charge, and what premiere advantage, if any, might be realized.

in case you do 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 take greater than five years, and three % say it is going to take between two years and five years. most effective three.four p.c of the whole base say they can do it in under two years. We suppose all of these numbers are optimistic, and the agencies who might simply go away OS/four hundred and IBM i already did a very long time ago and those that are continue to be have a more durable time, no longer a less complicated time, moving. If this have been not authentic, the IBM i base can be a hell of plenty smaller than the a hundred and twenty,000 customers we feel are accessible, according to what massive Blue has instructed us in the past. here's the difference between fear or force or tradition and the truth of attempting to circulation a enterprise off one platform and onto a different. These strikes are all the time plenty more durable than they seem on the entrance conclusion, and we suspect many of the benefits additionally don’t materialize for people that do 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 see greater than five years into the future this is a neat trick – the installed base would reduce dramatically. it is challenging to assert how a ways on account of the big selection of timeframes in the survey. If it turned into 9 % of the base inside two years – call it 4.5 p.c of the bottom per year – then within a decade the normal base would cut back from one hundred twenty,000 IBM i sites international all the way down to about seventy two,000. this is able to dramatic certainly. but at a 1 percent attrition expense per 12 months, the bottom continues to be at 107,500 wonderful shoppers (no longer sites and never installed machines, each of that are higher) by 2029. We 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 new clients being brought in new markets, to be certain, however the bleed rate (notwithstanding it's small) continues to be doubtless an order of magnitude larger than the feed rate.

once they do feel about making the move, IBM i stores comprehend precisely the place they wish to go, and this answer 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 all 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 be 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 moving had been AIX systems, and yet another four p.c have been going upscale to gadget z mainframes – as not likely as this might also appear. systems tend to roll downhill; they do not continually defy gravity like that.

The element about such surveys is that they show intent, no longer motion. We frequently intend to do much more than we in reality can accomplish, and relocating platforms after spending a long time of building up potential isn't continually a really wise movement unless the platform is in actual trouble – like 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 big 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 sure the just one showing any boom.

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IBM revamps channel strategy to enhance partner advantage and enablement | killexams.com Real Questions and Pass4sure dumps

John Teltsch (IBM)

John Teltsch (IBM)

credit score: IBM

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

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

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

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

in the meantime, the Watson-based mostly engine will enable companions with complementary capabilities to locate each other, get 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 offer 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 new utility deal registration will offer companions with priority entry to particular bid pricing to be able to in the reduction of battle between know-how providers while improving financial outcomes.

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

In April ultimate year, big Blue, restructured its partner engagement fashions throughout the channel.

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

On top of these new initiatives, the supplier is also 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 new demos, trials and incentives to speed up boom,” Teltsch pointed out.

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

associate talents and enablement

Delving deeper, IBM also showcased its new sales enablement answer, Seismic@IBM, a device that aspects sales kits, plays, displays, use instances and different belongings.

The value equipment help 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 new managed features safety company software (MSSP) goals to help 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 new protection licenses and SaaS.

Teltsch observed it has also 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 new Cloud Digital Technical Engagement program will provide partners with access to technical assets concentrated on product demos and tutorials.

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

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

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

“We’ve also viewed tremendous momentum within the number of partners constructing their talents and selling options in strategic areas like IBM security, Cloud, IoT and Watson AI, with our 2d Watson construct challenge producing greater than 500 AI options and prototypes that run 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

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IBM System z Technical Support

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Manage and optimize IBM z Systems software costs | killexams.com real 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 cut 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 average (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 Tool (SCRT) to compute peak 4HRA. Each month, IBM customers feed type 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 Complex or Central Processor Complex. SCRT creates several CSV files for the customer to review and then send to IBM for billing.

Remember two important 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 show up for a logical partition (LPAR) that was CICS-free for those four hours. This also means that the MSUs consumed by the operating system, z/OS, show 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 all of the MSUs at the peak 4HRA interval.

IBM recently added a new option, Country Multiplex Pricing, in which SCRT calculates a combined 4HRA across all the processors within the same country. This option may be 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 flexible 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 also offers a public cloud discount similar to that for mobile workloads, if you use a well-known cloud provider such as IBM Bluemix or Amazon Web Services.
  • The price of an MSU depends on the software running on individual LPARs. Segregate expensive software or nonproduction work to smaller LPARs to save money. Conversely, keep discretionary work off of LPARs with expensive software.
  • IBM's new processor architectures run most efficiently when data and instructions are in cache. Busy machines, however, do a lot of context switching, which puts pressure on cache and leaves the CPU waiting for data. Therefore, the same workload will consume fewer CPUs on processors that run at lower utilization. In some cases, you can buy more engines that run at a slower speed to save money.
  • Database tuning is important 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 work closely with application teams on the cheapest way to get to the data. Prioritize application tuning to eliminate 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 be worthwhile to update system software or look for other options that use zIIPs.
  • The distance between a processor and its coupling facility (CF) can also increase 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 keep CFs close to the processor that will use 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 be essentially free.
  • Even though SCRT may be opaque, you can access the SMF records to find more information. Look at the type 89 records to know when, where and which products were active. Look at usage sections in type 30 SMF records to pinpoint exactly which products an address space used. IBM has another reporting tool, IFAURP, which produces usage reports more detailed than SCRT.
  • Offload to other platforms where possible to reduce IBM z Systems software costs. For example, some processing like geocoding may be more efficient on a UNIX platform. IBM also offers a DB2 Analytics Accelerator for big data analysis.

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

    In September 2018, IBM announced a new 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 use by subsequent statements.

    Machine Learning on the IBM z Platform

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

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

  • It supports multiple programming languages such as Python, Scala and R. This allows data modelers and scientists to use 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 improve performance.

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

    AI Comes to Db2

    Consider the plight of modern DBAs in a Db2 environment. In today's IT world they must support one or more big 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 join methods and others. In the data warehouse and big data environments there are usually additional choices available. One of these is the existence 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 include software suites that allow the business analyst to use 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 do good analytics on your multiple data stores you need a good understanding of the data requirements, an understanding of the analytical functions and algorithms available and a high-performance data infrastructure. Regrettably, the number and location of data sources is expanding (both in size and in geography), data sizes are growing, and applications continue to proliferate in number and complexity. How should IT managers support this environment, especially with the most experienced and mature staff nearing retirement?

    Understand also that a large part of reducing the total cost of ownership of these systems is to get Db2 applications to run 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 great 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 use the model scoring data as input to its access path choice algorithm.

    The result should be a reduction in CPU consumption as the Optimizer uses model scoring input to choose better access paths. This then lowers CPU costs and speeds application response times. A significant advantage is that using AI software does not require the DBA to have 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 be particularly important if you store data in multiple places. For example, many analytical queries against big data require concurrent access to certain 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 consider a table called StoreLocation that enumerates every store and its location code. Queries against store sales data may wish to aggregate or summarize sales by Location; hence, the StoreLocation table will be used by some big data queries. In this environment it is common to take the dimension tables and copy them regularly to the big data application. In the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now think about SQL queries from both operational applications, data warehouse users and big data business analysts. From Db2's perspective, all 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 business analyst against big 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 make 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 choice is made, Db2 AI captures the SQL syntax, access path choice 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 appropriate 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.

    Summary

    IBM's machine learning for zOS (MLz) offering is being used to great effect in Db2 version 12 to improve the performance of analytical queries as well as operational queries and their associated applications. This requires management attention, as you must verify that your business is prepared to consume these ML and AI conclusions. How will you measure the costs and benefits of using machine learning? Which IT support staff must be 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 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"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 partner skills and enablement | killexams.com real questions and Pass4sure dumps

    John Teltsch (IBM)

    John Teltsch (IBM)

    Credit: IBM

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

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

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

    Specifically, IBM Business Partner Connect focuses on helping partners tap into the global ecosystem to collaborate on client opportunities, develop new business and bring new solutions to market.

    Meanwhile, the Watson-based engine will enable partners with complementary capabilities to find each other, get 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 offer 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 Business Partner Connect platform.

    Additionally the new software deal registration will offer partners with priority access to special bid pricing in an effort to reduce conflict between technology providers while improving financial outcomes.

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

    In April last year, Big Blue, restructured its partner engagement models across the channel.

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

    On top of these new initiatives, the vendor is also 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 help partners on their journey to SaaS, with more than 400 as-a-service offerings, coupled with new demos, trials and incentives to accelerate growth,” Teltsch said.

    IBM has also launched SaaS deal registration and P360, which is a tool allowing partners to see their client’s analytics.

    Partner skills and enablement

    Delving deeper, IBM also showcased its new sales enablement solution, Seismic@IBM, a tool that features sales kits, plays, presentations, use cases and other assets.

    The Value Package support bundle is also 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 also doubling the number of system channel technical sellers to support partners in the field.

    Going forward, a new managed services security provider program (MSSP) aims to help 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 new security licenses and SaaS.

    Teltsch said it has also 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 improve readiness at lower cost than containers alone,” he explained.

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

    “These assets provide a deep understanding of product offerings and how they can help clients along their journey to Cloud and AI," Teltsch added. "Our new Seismic@IBM will include a link to this Cloud Digital Technical Engagement program so partners can easily access this important information while preparing for client engagements."

    According to Teltsch, the new 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 also seen significant momentum in the number of partners building their skills and selling solutions in strategic areas like IBM Security, Cloud, IoT and Watson AI, with our second Watson Build Challenge producing more than 500 AI solutions and prototypes that run on the IBM Cloud,” Teltsch said.

    During its fourth quarter results, Big 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 Think in San Francisco as a guest of IBM

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