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

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

February eleven, 2019 Timothy Prickett Morgan

If nothing else, the IBM i platform has exhibited awesome durability. One might even snarl legendary toughness, if you need to grasp its background everyone the means again to the equipment/three minicomputer from 1969. this is the precise surge constituent in the AS/400 family unit tree and this is when gigantic 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, tackle i, and then IBM i on vigour techniques structures.

It has been a protracted race indeed, and many shoppers who beget invested in the platform everyone started fashion 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 race ahead, in view that they accept as even with that the agencies that are still working IBM i techniques are the actual diehards, the ones who beget 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, they don't look to live in a recession and heaven willing there are usually not one, so the priorities that IBM i shops beget are not the ones that they'd a decade in the past everyone the artery through the height of the first-rate Recession. lower back then, as turned into the case in practically everyone IT groups, IBM i shops were hunkering down and beget been making an attempt to reduce prices in everyone ways viable, including deferring gadget upgrades and migrations as well as chopping returned on different projects. most efficacious 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, beget 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 prerogative here in early 2019 that construct us apprehensive and could surge inserting power on things. listed here are the prerogative considerations as culled from the survey:

dealing with the boom in records and in deciding the analytics to chew on that facts ranked a diminutive 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 eddy into more primary than modernizing applications and coping with the IBM i edge shortages that are a perennial live concerned. both of those considerations are being solved as recent programmers and recent tools to construct recent interfaces to database purposes beget become greater indifferent 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 live picked up extra without deliberate via programmers skilled with these other languages.

Given the character of the client base, it seems not going to me that safety and lofty availability will not proceed to live 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 tackle (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 beget security breaches, and that they can’t beget downtime.

there's a outstanding volume of steadiness within the IBM i client ground that they feel, at this element, is reflective in the balance of the IBM i platform and gigantic Blue’s personal perception that it needs a suit IBM i platform to beget an universal in shape vim systems enterprise. they everyone recognize that the vigour methods hardware company has just turned in five quarters of revenue increase – something they discussed these days in setting up their personal income mannequin for the vim systems company – however what they did not recognize, and what construct sure to live vigilant of, is that in the second and third quarters of 2018, the IBM i portion of the trade grew enormously sooner than the universal vim methods company, and the only intent that this didn't eddy up within the final quarter of 2018 is that earnings of IBM i tackle in this Fall 2017 became rather efficacious 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 trade near 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 strain 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 live 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 everyone in the past 4 years. it is a remarkably tough sample with however a diminutive wiggling here and there that may additionally not even live statistically large. just beneath a quarter of IBM i retail outlets beget stated during the past 4 years that they design to enhance their funding in the platform in each and every yr, and simply under half snarl 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 artery more practicable that every handful of years – extra like four or five – consumers upgrade their programs and extend their capacity, and they then sit tight. The prodigy is that the slash up isn’t showing a long artery fewer organizations investing and much more sitting tight. That greater than a tenth of the stores don’t live vigilant of what their design is as each prior yr comes to a nearby is just a diminutive demanding, but it is sincere and indicates that a significant portion of outlets beget other priorities other than hardware and operating system improvements. they now beget stated this before and they are able to snarl 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 recent technologies, and the cost of investment, may still live higher than in the precise base, a mighty deal of which doesn't change tons at all.

So if they had to alter this information to grasp on the entire base, there may live some distance fewer websites that are investing greater cash, artery 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 beget any conception what they're doing investment sensible with IBM this yr, 5 p.c are pondering moving some or everyone 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 charge of attrition – how many websites they really lose every year – only a tad over 1 %. So the fee of strain of applications off the platform, or incidences of unplugging IBM i databases and functions, might furthermore no longer live anywhere near as lofty within the overall ground because the statistics above suggests. what is alarming, in everyone probability, is that the expense of relocating some or everyone applications off the platform is balanced in opposition t people that snarl they are going to increase investments. possibly these are hopeful survey takers, and those that believe it's handy to stream discover it is not and people who believe they will locate the money to construct investments will not.

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

Anyway, first rate advantageous fortune with that.

Porting purposes from one platform to a different, of purchasing a recent suite on that recent platform, is an exceptionally complicated assignment. It isn't like making an attempt to exchange a fatigue whereas driving down the road, as is a common metaphor, however reasonably like trying to grasp the fatigue 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 thrust 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 vim systems. groups that snarl they're making this sort of strain off IBM i are sanguine for his or her personal very own explanations, in everyone probability, however they don't look to live always simple about how lengthy it could take, what disruption it'll can charge, and what premiere advantage, if any, might live 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 grasp greater than five years, and three % snarl it is going to grasp between two years and five years. most efficacious three.four p.c of the total ground snarl they can Do it in under two years. They suppose everyone of these numbers are optimistic, and the agencies who might simply fade away OS/four hundred and IBM i already did a very long time ago and those that are continue to live beget a more durable time, no longer a less complicated time, moving. If this beget been not authentic, the IBM i ground can live 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 disagreement between fright or constrain or tradition and the verisimilitude of attempting to circulation a enterprise off one platform and onto a different. These strikes are everyone 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 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 notice greater than five years into the future this is a smart trick – the installed ground would reduce dramatically. it is challenging to assert how a ways on account of the gigantic selection of timeframes in the survey. If it turned into 9 % of the ground inside two years – muster it 4.5 p.c of the bottom per year – then within a decade the gauge ground would slash back from one hundred twenty,000 IBM i sites international everyone the artery down to about seventy two,000. this is able to melodramatic certainly. but at a 1 percent attrition expense per 12 months, the bottom continues to live 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 recent clients being brought in recent markets, to live certain, however the bleed rate (notwithstanding it's small) continues to live doubtless an order of magnitude larger than the feed rate.

once they Do feel about making the move, IBM i stores comprehend precisely the position they wish to go, and this reply 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 everyone 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 live 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 beget been going upscale to gadget z mainframes – as not likely as this might furthermore appear. systems watch to roll downhill; they Do not continually defy gravity like that.

The constituent about such surveys is that they note intent, no longer motion. They frequently intend to Do much more than they in reality can accomplish, and relocating platforms after spending a long time of building up potential isn't continually a really sapient movement unless the platform is in actual mishap – 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 gigantic 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 edge and enablement | killexams.com actual Questions and Pass4sure dumps

John Teltsch (IBM)

John Teltsch (IBM)

credit score: IBM

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

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

On precise of this, the dealer furthermore 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 unite makes a speciality of assisting partners faucet into the world ecosystem to collaborate on customer opportunities, develop recent enterprise and bring recent solutions to market.

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

Teltsch delivered this was a section 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, gigantic Blue, restructured its partner engagement fashions throughout the channel.

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

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

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

associate talents and enablement

Delving deeper, IBM furthermore showcased its recent sales enablement answer, Seismic@IBM, a device that aspects sales kits, plays, displays, employ instances and different belongings.

The value tackle lighten bundle is additionally being accelerated into edition 2.0, whereby companions can double their IBM cloud credit; deliver entry to a evolution sandbox ambiance; entry contract 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 recent managed features safety company software (MSSP) goals to lighten 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 recent protection licenses and SaaS.

Teltsch observed it has furthermore 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 freight than containers alone,” he explained.

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

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

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

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

“We’ve furthermore 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 their 2d Watson construct challenge producing greater than 500 AI options and prototypes that race 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: gladden 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 actual 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 slash 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 freight (MLC) software, which includes z Systems software, on the MSU peak four-hour rolling indifferent (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 appliance (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 intricate or Central Processor Complex. SCRT creates several CSV files for the customer to review and then ship to IBM for billing.

Remember two primary 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 note up for a ratiocinative partition (LPAR) that was CICS-free for those four hours. This furthermore means that the MSUs consumed by the operating system, z/OS, note 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 everyone of the MSUs at the peak 4HRA interval.

IBM recently added a recent option, Country Multiplex Pricing, in which SCRT calculates a combined 4HRA across everyone the processors within the identical country. This option may live 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 springy 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 furthermore offers a public cloud discount similar to that for mobile workloads, if you employ a well-known cloud provider such as IBM Bluemix or Amazon Web Services.
  • The charge of an MSU depends on the software running on individual LPARs. Segregate expensive software or nonproduction travail to smaller LPARs to save money. Conversely, retain discretionary travail off of LPARs with expensive software.
  • IBM's recent processor architectures race most efficiently when data and instructions are in cache. industrious machines, however, Do 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 race at lower utilization. In some cases, you can buy more engines that race at a slower speed to save money.
  • Database tuning is primary 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 travail closely with application teams on the cheapest artery to derive to the data. Prioritize application tuning to purge low-hanging fruit, such as a number of database queries, inefficient muster 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 live worthwhile to update system software or peep for other options that employ zIIPs.
  • The distance between a processor and its coupling facility (CF) can furthermore 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 retain CFs nearby to the processor that will employ 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 live essentially free.
  • Even though SCRT may live opaque, you can access the SMF records to find more information. peep at the type 89 records to know when, where and which products were active. peep 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 circumstantial than SCRT.
  • Offload to other platforms where practicable to reduce IBM z Systems software costs. For example, some processing like geocoding may live more efficient on a UNIX platform. IBM furthermore offers a DB2 Analytics Accelerator for gigantic data analysis.

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

    In September 2018, IBM announced a recent product, IBM Db2 AI for z/OS. This synthetic intelligence engine monitors data access patterns from executing SQL statements, uses machine learning algorithms to settle on optimal patterns and passes this information to the Db2 query optimizer for employ 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 limn 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 employ 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, reminiscence 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 better 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 universal Db2 subsystem performance is an primary 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 gigantic 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 live accessed and develops a list of candidate data access paths. These access paths can involve indexes, table scans, various table unite methods and others. In the data warehouse and gigantic 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, reminiscence and other resources. Finally, the Optimizer takes the lowest cost access path, stores it in reminiscence (and, optionally, in the Db2 Directory) and begins access path execution.

    Big data and data warehouse operations now involve software suites that allow the trade analyst to employ 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 advantageous analytics on your multiple data stores you need a advantageous 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 furthermore that a great section of reducing the total cost of ownership of these systems is to derive Db2 applications to race 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 synthetic intelligence can live used to mighty effect.

    Db2 12 for z/OS and synthetic Intelligence

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

    The result should live 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 edge is that using AI software does not require the DBA to beget data science skills or abysmal insights into query tuning methodologies. The Optimizer now chooses the best access paths based not only on SQL query syntax and data distribution statistics but on modelled and scored historical performance.

    This can live particularly primary if you store data in multiple places. For example, many analytical queries against gigantic 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 live used by some gigantic data queries. In this environment it is common to grasp the dimension tables and copy them regularly to the gigantic data application. In the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now deem about SQL queries from both operational applications, data warehouse users and gigantic data trade analysts. From Db2's perspective, everyone these queries are equal, and are forwarded to the Optimizer. However, in the case of operational queries and warehouse queries they should most likely live directed to access the StoreLocation table in the warehouse. On the other hand, the query from the trade analyst against gigantic data tables should probably access the copy of the table there. This results in a proliferations of potential access paths, and more travail for the Optimizer. Luckily, Db2 AI for z/OS can provide the Optimizer the information it needs to construct 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 preference is made, Db2 AI captures the SQL syntax, access path preference and query performance statistics (CPU used, etc.) and passes it to a "learning task";
  • The learning task, which can live 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 furthermore can live 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 usurp changes to access path choices.
  • There are furthermore 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 mighty effect in Db2 version 12 to better the performance of analytical queries as well as operational queries and their associated applications. This requires management attention, as you must verify that your trade 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 live tasked to reviewing the result of model scoring, and perhaps approving (or overriding) the results? How will you review and warrant the assumptions that the software makes about access path choices?

    In other words, how well Do you know your data, its distribution, its integrity and your current and proposed access paths? This will determine where the DBAs disburse 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 actual questions and Pass4sure dumps

    John Teltsch (IBM)

    John Teltsch (IBM)

    Credit: IBM

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

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

    On top of this, the vendor furthermore circumstantial 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 trade partner Connect focuses on helping partners tap into the global ecosystem to collaborate on client opportunities, develop recent trade and bring recent solutions to market.

    Meanwhile, the Watson-based engine will enable partners with complementary capabilities to find each other, derive to market faster and sell more together, according to John Teltsch, universal 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 trade partner Connect platform.

    Additionally the recent software deal registration will offer partners with priority access to special bid pricing in an worry to reduce combat between technology providers while improving monetary outcomes.

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

    In April final year, gigantic Blue, restructured its partner engagement models across the channel.

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

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

    IBM has furthermore launched SaaS deal registration and P360, which is a appliance allowing partners to notice their client’s analytics.

    Partner skills and enablement

    Delving deeper, IBM furthermore showcased its recent sales enablement solution, Seismic@IBM, a appliance that features sales kits, plays, presentations, employ cases and other assets.

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

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

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

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

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

    “These assets provide a abysmal understanding of product offerings and how they can lighten clients along their journey to Cloud and AI," Teltsch added. "Our recent Seismic@IBM will involve a link to this Cloud Digital Technical engagement program so partners can easily access this primary information while preparing for client engagements."

    According to Teltsch, the recent 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 furthermore 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 their second Watson Build Challenge producing more than 500 AI solutions and prototypes that race on the IBM Cloud,” Teltsch said.

    During its fourth quarter results, gigantic 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 synthetic 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 deem in San Francisco as a guest of IBM

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