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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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IBM IBM System z Technical
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supply forefront Integrity specialists, Inc.
February 11, 2019 Timothy Prickett Morgan
If nothing else, the IBM i platform has exhibited fantastic toughness. One may even say legendary durability, if you need to take its history all the manner back to the system/3 minicomputer from 1969. here's the real beginning point in the AS/400 household tree and here is when massive Blue, for terribly sound legal and technical and advertising explanations, decided to fork its items to handle the pleasing needs of huge corporations (with the system/360 mainframe and its observe-ons) and small and medium organizations (beginning with the device/3 and moving on in the course of the gadget/34, system/32, system/38, and device/36 in the Seventies and early Nineteen Eighties and passing during the AS/400, AS/400e, iSeries, device i, after which IBM i on power techniques structures.
It has been a long run certainly, and many shoppers who've invested in the platform all started way returned then and there with the early versions of RPG and moved their purposes ahead and adjusted them as their businesses developed and the depth and breadth of company computing modified, moving on up via RPG II, RPG III, RPG IV, ILE RPG, and now RPG free form. Being on this platform for even three many years makes you a relative newcomer.
there is a longer run forward, considering that we consider that the companies which are nonetheless working IBM i methods are the genuine diehards, the ones who haven't any intention of leaving the platform and that, as a minimum in accordance with the survey information we have been privy too, are desiring to proceed investing in, and even extend their investments in, the IBM i platform.
to this point, we are not in a recession and heaven inclined there should not one, so the priorities that IBM i shops have aren't the ones that they'd a decade in the past during the top of the fantastic Recession. again then, as became the case in virtually all IT businesses, IBM i shops were hunkering down and were attempting to reduce fees in all methods feasible, together with deferring system improvements and migrations in addition to reducing lower back on different projects. most effective 29 % of the 750 IBM i stores that participated in the 2019 IBM i marketplace Survey, which HelpSystems did returned in October 2018, had been worried about reducing IT spending. here is a remarkably low stage, and that i feel is indicative of how tremendously amazing the financial system is – excepting one of the vital suits and begins we saw at the end of 2018 and here in early 2019 that make us nervous and will birth putting drive on issues. listed below are the correct concerns as culled from the survey:
coping with the boom in statistics and in identifying the analytics to bite on that data ranked a little bit better on the 2019 IBM i market Survey than did decreasing costs, and i believe over the lengthy haul these considerations will develop into extra important than modernizing applications and coping with the IBM i expertise shortages that are a perennial agonize. both of these concerns are being solved as new programmers and new tools to make new interfaces to database applications are becoming extra common and as technologies similar to free kind RPG, which looks extra like Java, Python, and php, are being more generally deployed and, importantly, can be picked up extra promptly via programmers experienced with these different languages.
Given the character of the consumer base, it looks not likely to me that safety and excessive availability will now not proceed to be basic issues, besides the fact that children that the IBM i platform is among the many most secure systems in the world (and never simply since it is vague, however because it is tremendously tricky to hack) and it has various excessive availability and disaster recovery tools (from IBM, Syncsort, Maxava, and HelpSystems) attainable for people that are looking to double up their methods and protect their purposes and information. The bar is regularly bigger than simple backup and restoration for many IBM i retail outlets in the banking, coverage, manufacturing, and distribution industries that dominate the platform. These companies can’t have protection breaches, and they can’t have downtime.
there is a miraculous amount of balance within the IBM i client base that we think, at this aspect, is reflective within the steadiness of the IBM i platform and large Blue’s personal perception that it wants a fit IBM i platform to have an average suit energy methods company. all of us comprehend that the vigor methods hardware enterprise has simply became in five quarters of revenue increase – some thing we mentioned recently in constructing our own earnings model for the energy programs business – but what we didn't know, and what be sure to be aware of, is that within the second and third quarters of 2018, the IBM i portion of the enterprise grew tremendously faster than the basic vigor systems company, and the simplest reason that this didn't turn up within the remaining quarter of 2018 is that revenue of IBM i equipment in this fall 2017 became fairly effective and represented a very complicated examine. The element is, the IBM i enterprise has been raising the vigour techniques category general. (These hints concerning the IBM i enterprise come compliments of Steve Sibley, vice president and providing supervisor of Cognitive methods at IBM.)
IBM’s personal financial steadiness of the vigor platform – which has been bolstered by a circulate into Linux clusters for analytics and excessive performance computing simulation and modeling in addition to by the adoption of the HANA in-memory database by way of SAP valued clientele on large iron machines together with Power8 and now Power9 programs – helps IBM i valued clientele consider extra confident in investing in the latest IBM i platform. The contemporary facts from a number of different surveys, now not simply the one executed by way of HelpSystems every year, means that groups are with the aid of and big either continuing to invest in the platform and even in some cases are planning to increase their spending on the IBM i platform in 2019.
As that you could see, the sample of investment plans for the IBM i platform, as shown within the chart above, has no longer changed very tons at all in the past four years. it is a remarkably solid pattern with however a little wiggling right here and there that may additionally now not even be statistically big. simply beneath 1 / 4 of IBM i retail outlets have mentioned in the past 4 years that they plan to increase their investment in the platform in each and every yr, and just beneath half say that they're holding constant. This doesn't mean that the equal businesses, year after yr, are investing greater and different organizations are staying pat, year after yr. it is way more doubtless that every handful of years – more like 4 or 5 – consumers improve their methods and expand their skill, and they then sit tight. The ask yourself is that the cut up isn’t showing far fewer companies investing and much greater sitting tight. That more than a tenth of the shops don’t know what their plan is as every prior year comes to a detailed is a little bit demanding, nevertheless it is sincere and suggests that a good portion of outlets have other priorities aside from hardware and operating equipment upgrades. we now have mentioned this before and we will say it once again: We feel that the americans who respond to surveys and skim weekly publications focused on the IBM i platform are probably the most energetic retail outlets – those more more likely to dwell tremendously present on hardware and application. So the pace of adoption for brand new technologies, and the fee of investment, may still be larger than in the genuine base, plenty of which doesn't alternate a lot in any respect.
So if we had to alter this data to tackle the total base, there might be some distance fewer sites that are investing greater money, much more companies which are sitting tight, and perhaps fewer sites that are deliberating moving off the IBM i platform. I consider the distribution of statistics is likely anything like 10 p.c of retailers don't have any conception what they are doing investment sensible with IBM this yr, 5 p.c are considering moving some or all of their applications to an extra platform, perhaps 10 p.c are investing more this year, and the ultimate seventy five percent are sitting tight. here's just a wager, of path. so far as we will inform, the expense of attrition – what number of sites we in fact lose each 12 months – just a tad over 1 %. So the price of flow of functions off the platform, or incidences of unplugging IBM i databases and functions, may not be anyplace near as high in the ordinary base as the data above suggests. what is alarming, perhaps, is that the expense of relocating some or all purposes off the platform is balanced against those that say they're going to boost investments. most likely these are hopeful survey takers, and people who suppose it's convenient to movement locate it is not and those that consider they're going to find the cash to make investments will not.
What we do know is that if the expense of software attrition was anyplace near as excessive as these surveys imply, then the IBM i company would no longer be growing to be, but shrinking. And we comprehend it isn't shrinking, so we think there is a disconnect between planning and reality, each on the upside and the draw back.
in case you drill down into the information for the 2019 IBM i market Survey, there have been 13 p.c of retailers that noted they'd be moving some functions to a new platform, and a further 9 p.c that observed they have been going to stream all of their applications off IBM i. (This quantity is in line with the recent ALL400s survey done by using John Rockwell.)
Anyway, decent success with that.
Porting purposes from one platform to a different, of purchasing a new suite on that new platform, is an incredibly elaborate task. It is not like trying to trade a tire while using down the road, as is a standard metaphor, however quite like trying to take the tire off one motor vehicle relocating down the highway and installing it on one other vehicle using beside it in the adjoining lane without crashing either motor vehicle or smashing into any individual else on the street. Optimism abounds, however when push involves shove, very few groups try this kind of maneuver, and after they do, it is constantly as a result of there's a company mandate, greater times than now not brought about by way of a merger or acquisition, that pits any other platform in opposition t IBM i running on power systems. organizations that say they are making this sort of movement off IBM i are sanguine for their own own reasons, most likely, but they are not necessarily functional about how lengthy it might take, what disruption it's going to charge, and what gold standard improvement, if any, could be realized.
if you do the math on the chart above, eight-tenths of the bottom has no idea how lengthy a stream will take, an extra 1.7 p.c thinks it is going to take more than 5 years, and three % say it's going to take between two years and 5 years. most effective three.four percent of the overall base say they could do it in beneath two years. We consider all of these numbers are optimistic, and the agencies who may conveniently leave OS/four hundred and IBM i already did a very long time ago and those which are stay have a more durable time, now not an easier time, relocating. If this had been now not proper, the IBM i base could be a hell of a great deal smaller than the a hundred and twenty,000 consumers we suppose are accessible, according to what huge Blue has told us during the past. this is the change between fear or force or way of life and the fact of attempting to movement a enterprise off one platform and onto one more. These moves are all the time a whole lot more durable than they seem to be on the entrance conclusion, and we suspect lots of the merits additionally don’t materialize for people that do bounce systems.
on the typical attrition fee advised by means of this survey information – 9 % flow off the platform in someplace between three hundred and sixty five days and more than five years, with most companies now not being in a position to see more than five years into the long run it really is a neat trick – the installed base would decrease dramatically. it is tough to assert how a ways because of the wide selection of timeframes within the survey. If it changed into 9 % of the base within two years – call it 4.5 p.c of the base per year – then inside a decade the universal base would reduce from 120,000 IBM i websites global down to about seventy two,000. this may dramatic indeed. but at a 1 percent attrition fee per year, the bottom is still at 107,500 entertaining clients (now not websites and not installed machines, both of which are better) with the aid of 2029. We believe there's every chance that the attrition rate will definitely gradual and drop below 1 percent as IBM demonstrates commitment to the energy systems platform and its IBM i working equipment. There are all the time some new valued clientele being delivered in new markets, to be sure, however the bleed fee (notwithstanding it's small) is still doubtless an order of magnitude larger than the feed fee.
once they do suppose about making the move, IBM i retail outlets recognize precisely where they are looking to go, and this reply has been regularly altering over the years: Linux as an alternative choice to IBM i is on the upward thrust and windows Server as an alternative is on the wane. in the latest survey, fifty two % of the businesses that noted they were relocating all or a few of their functions to another platform observed they had been determining home windows Server, whereas 34 % chose Linux. This displays the relative recognition of home windows Server and Linux within the datacenters of the area at enormous, and can be tipped simply a bit more closely towards Linux in comparison to the leisure of the world. interestingly, 10 % of these polled who pointed out they were moving had been taking a look at AIX platforms, and one more 4 % were going upscale to system z mainframes – as not likely as this may additionally seem to be. platforms are likely to roll downhill; they don't always defy gravity like that.
The aspect about such surveys is that they exhibit intent, now not action. We frequently intend to do much more than we definitely can accomplish, and relocating systems after spending decades of building up potential is not continually a very wise stream until the platform is in actual concern – like the Itanium programs from Hewlett Packard commercial enterprise operating OpenVMS or HP-UX or the HP 3000s working MPE or the Sparc programs from Oracle operating Solaris. These had been once amazing systems with large put in bases and giant earnings streams, but now, IBM is the ultimate of these Unix and proprietary structures with its power programs line. And it's by using a ways the biggest and for bound the only one showing any growth.
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IBM to Open Quantum Computation center for commercial shoppers in Poughkeepsie, ny
YORKTOWN HEIGHTS, N.Y., Jan. 8, 2019 /PRNewswire/ -- at the 2019 client Electronics exhibit (CES), IBM (NYSE: IBM) these days unveiled IBM Q equipment One™, the realm's first built-in time-honored approximate quantum computing equipment designed for scientific and commercial use. IBM also announced plans to open its first IBM Q Quantum Computation core for industrial valued clientele in Poughkeepsie, long island in 2019.
IBM Q methods are designed to at some point address problems which are currently considered as too advanced and exponential in nature for classical systems to deal with. Future applications of quantum computing can also include discovering new easy methods to mannequin financial records and separating key global risk elements to make improved investments, or discovering the most excellent course across world techniques for extremely-effective logistics and optimizing fleet operations for deliveries.
Designed by using IBM scientists, programs engineers and industrial designers, IBM Q gadget One has a sophisticated, modular and compact design optimized for stability, reliability and continuous industrial use. For the first time ever, IBM Q device One makes it possible for regular approximate superconducting quantum computers to function past the confines of the research lab.
a great deal as classical computers mix numerous components into an built-in structure optimized to work together, IBM is applying the same approach to quantum computing with the primary built-in everyday quantum computing system. IBM Q gadget One is comprised of a number of customized components that work together to serve as the most superior cloud-primarily based quantum computing application available, together with:
Quantum hardware designed to be good and auto-calibrated to give repeatable and predictable splendid qubits;
Cryogenic engineering that gives you a continuous bloodless and isolated quantum environment;
excessive precision electronics in compact kind factors to tightly control large numbers of qubits;
Quantum firmware to control the system health and enable system improvements with out downtime for users; and
Classical computation to give relaxed cloud entry and hybrid execution of quantum algorithms.
The IBM Q Quantum Computation core
The IBM Q Quantum Computation center opening later this 12 months in Poughkeepsie, ny, will extend the IBM Q community business quantum computing software, which already includes methods on the Thomas J. Watson research middle in Yorktown, big apple. This new center will apartment one of the crucial world's most advanced cloud-based mostly quantum computing systems, which can be purchasable to contributors of the IBM Q community, a worldwide community of leading Fortune 500 businesses, startups, tutorial associations, and country wide analysis labs working with IBM to increase quantum computing and discover purposeful applications for company and science.
IBM Poughkeepsie's wonderful history in computing stretches lower back to the construction of IBM's first line of construction business computers in the Nineteen Fifties, the IBM 700 collection, and the IBM system/360 in the Nineteen Sixties, which revolutionized the world by means of changing the manner organizations thought about desktop hardware. Now home to one of the crucial world's most-potent classical gadget, the IBM mainframe, IBM Poughkeepsie is placed to be some of the few areas on earth with the technical capabilities, infrastructure and talents to run a quantum computation middle, together with entry to excessive performance computing systems and a excessive availability statistics core vital to work alongside quantum computers.
"The IBM Q gadget One is a massive step ahead in the commercialization of quantum computing," referred to Arvind Krishna, senior vp of Hybrid Cloud and director of IBM research. "This new equipment is vital in increasing quantum computing beyond the walls of the analysis lab as we work to boost purposeful quantum purposes for enterprise and science."
Designing a first: IBM Q device One
IBM assembled an international-class group of business designers, architects, and manufacturers to work alongside IBM analysis scientists and methods engineers to design IBM Q system One, together with UK industrial and indoors design studios Map project workplace and customary Design Studio, and Goppion, a Milan-based mostly manufacturer of excessive-end museum screen cases that offer protection to one of the world's most valuable artwork including the Mona Lisa on the Louvre, and the Crown Jewels on the Tower of London.
together these collaborators designed the primary quantum gadget to consolidate lots of add-ons into a glass-enclosed, air-tight environment developed certainly for enterprise use, a milestone in the evolution of commercial quantum computers.
This built-in system aims to tackle probably the most difficult features of quantum computing: constantly maintaining the pleasant of qubits used to operate quantum computations. potent yet delicate, qubits right now lose their particular quantum properties, customarily within a hundred microseconds (for state-of-the-artwork superconducting qubits), due in part to the interconnected machinery's ambient noise of vibrations, temperature fluctuations, and electromagnetic waves. coverage from this interference is certainly one of many the explanation why quantum computer systems and their add-ons require careful engineering and isolation.
The design of IBM Q equipment One contains a nine-foot-tall, 9-foot-huge case of half-inch thick borosilicate glass forming a sealed, hermetic enclosure that opens quite simply the use of "roto-translation," a motor-driven rotation around two displaced axes engineered to simplify the system's preservation and upgrade process whereas minimizing downtime – a further imaginative trait that makes the IBM Q equipment One applicable to authentic commercial use.
A collection of independent aluminum and metal frames unify, however additionally decouple the system's cryostat, manage electronics, and exterior casing, helping to evade competencies vibration interference that ends up in "phase jitter" and qubit decoherence.
a duplicate of IBM Q gadget One will be on reveal at CES. For extra tips talk over with, here.
This new system marks the subsequent evolution of IBM Q, the trade's first effort to introduce the general public to programmable normal quantum computing throughout the cloud-primarily based IBM Q journey, and the commercial IBM Q network platform for enterprise and science applications. The free and publicly purchasable IBM Q adventure has been continuously operating due to the fact that may additionally of 2016 and now boasts greater than a hundred,000 users, who have run more than 6.7 million experiments and published more than a hundred thirty third-birthday celebration analysis papers. developers have additionally downloaded Qiskit, a full-stack, open-source quantum utility development package, more than 140,000 times to create and run quantum computing courses. The IBM Q community comprises the fresh additions of Argonne countrywide Laboratory, CERN, ExxonMobil, Fermilab, and Lawrence Berkeley national Laboratory.
About IBM Q
IBM Q is an trade-first initiative to build business prevalent quantum systems for enterprise and science purposes. For extra suggestions about IBM's quantum computing efforts, please consult with www.ibm.com/ibmq.
IBM Q network™, IBM Q device One™, and IBM Q™ are emblems of overseas enterprise Machines agency.
Media Contact:Chris NayIBM analysis Communicationscnay@us.ibm.com 720-349-2032
A rendering of IBM Q device One, the world's first utterly integrated commonplace quantum computing gadget, at the moment put in on the Thomas J Watson analysis middle in Yorktown Heights, manhattan, where IBM scientists are using it to discover system improvements and enhancements that accelerate industrial applications of this transformational technology. For the first time ever, IBM Q equipment One allows quantum computer systems to operate beyond the confines of the analysis lab.
IBM corporation brand. (PRNewsFoto/IBM company) (PRNewsFoto/) (PRNewsfoto/IBM)
View long-established content to down load multimedia:http://www.prnewswire.com/information-releases/ibm-unveils-worlds-first-integrated-quantum-computing-device-for-industrial-use-300774332.html
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IBM System z Technical Support
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Ed Lovely, vice president of IBM Transformation & Operations, speaks about the newly renovated agile space at IBM June 29, 2017 in Armonk. Tania Savayan/lohud
ALBANY – IBM will invest $2 billion in New York to develop artificial intelligence hardware and bolster research opportunities in the field with the state's publicly funded university system, the company announced Thursday.
The technology company will be partnering with the State University of New York to develop an AI Hardware Center at SUNY Polytechnic Institute in Albany.
And it comes with a hefty state subsidy of $300 million.
The new center, which is expected to generate hundreds of new jobs in the state's Capital region, will be supported by IBM's research center in Yorktown Heights, according to a spokesperson for the company.
"AI will transform the world in dramatic ways in the coming years. IBM is pushing the boundaries of AI faster - for the benefit of industry and society," Mukesh Khare, vice president for semiconductor and AI hardware at IBM Research said in a statement.
"By expanding our partnership with New York state, we are creating a global hub of AI hardware research with an ecosystem to innovate, incubate, and lead in the development of disruptive technologies."
IBM plans a $2 billion expansion in New York, largely at the SUNY Polytechnic Institute in Albany. (Photo: AP)
IBM will provide $30 million to develop artificial intelligence research programs across the SUNY system, a donation the university system will match with a $25 million investment of its own.
Empire State Development, the state's economic development branch, will provide a five-year, $300 million grant to SUNY's Research Foundation to purchase and install equipment to support the hardware center.
It's the latest subsidy for the Albany nanocenter that was marred by scandal because of the conviction of its former president, Alain Kaloyeros, on bid-rigging charges.
In November, the state shipped $250 million to the center as part of a $600 million, seven-year deal with Applied Materials, the California-based tech company.
And the latest deal with IBM follows one that ended several years after IBM, Intel and GlobalFoundries first signed onto a $4 billion research agreement at the Albany facility in 2011.
IBM, which is based in Armonk, Westchester County, previously announced plans to open a quantum computing facility in Poughkeepsie this year.
"We continue to offer a world class education in innovative fields and artificial intelligence is just one example of how SUNY is investing in new tech clusters to prepare our students for the good paying jobs of tomorrow," Kristina Johnson, SUNY's chancellor, said in a statement.
IBM already partners with SUNY Poly at the school's Center for Semiconductor Research — a relationship it plans to extend through 2023 with a five-year renewal option, the company also said Thursday.
The extension is expected to retain hundreds of additional jobs in the state while the new research center is expected to attract companies across the emerging field and generate federal research opportunities.
"Artificial intelligence has the potential to transform how we live and how businesses operate, and this partnership with IBM will help ensure New York continues to be on the cutting edge developing innovative technologies," Gov. Andrew Cuomo said in a statement.
IBM in the Hudson Valley
IBM says its new Z mainframe, manufactured in Poughkeepsie, is a breakthrough in data-protection technology designed to tackle the epidemic of data breaches. Wochit
The announcement follows an eventful January for IBM, in which it reported $79.59 billion in revenue for 2018, marking the first time it posted positive annual revenue since 2011.
It also announced the Q System One, an integrated quantum computing system that the company says is optimized for commercial clients to access the burgeoning technology.
The company says it will be utilized at the first IBM Q Computation Center, opening in Poughkeepsie.
Poughkeepsie is also where IBM produces its Z Systems mainframes, which have been a part of the company's push into cloud computing and credited with helping the company's revenue growth.
However, IBM spokesperson Angela Sullivan said there will not be an "immediate impact in Poughkeepsie."
More: Former IBM campus may become private high school, Somers Academy
More: IBM responds to age-discrimination suit: 'No difference in age of workforce since 2010'
Includes reporting by the Poughkeepsie Journal.
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Oct 23, 2017
IBM announced revenue of $19.2 billion for the third quarter of 2017, up 11%. The company also announced “strategic imperatives”—from cloud and analytics—revenue of $34.9 billion over the trailing 12 months, up 10%. These imperatives represent 45% of IBM revenue.
Technology Services & Cloud Platforms (includes infrastructure services, technical support services, and integration software)—had revenue of $8.5 billion, down 3%. Strategic imperatives revenue grew 12%, driven by hybrid cloud services, security, and mobile. Systems (includes systems hardware and operating systems software)—revenue of $1.7 billion, was up 10%, driven by growth in z Systems and storage.
"In the third quarter we achieved double-digit growth in our strategic imperatives, extended our enterprise cloud leadership, and expanded our cognitive solutions business," said Ginni Rometty, IBM chairman, president and CEO. "There was enthusiastic adoption of IBM's new z Systems mainframe, which delivers breakthrough security capabilities."
Third-quarter cloud revenue increased 20% to $4.1 billion. Cloud revenue over the last 12 months was $15.8 billion, including $8.8 billion delivered as-a-service and $7.0 billion for hardware, software and services to enable IBM clients to implement comprehensive cloud solutions.
The annual exit run rate for as-a-service revenue increased to $9.4 billion from $7.5 billion in the third quarter of 2016. In the quarter, revenue from analytics increased 5%. Revenue from mobile increased 7% and revenues from security increased 51%.
Cognitive Solutions (includes solutions software and transaction processing software) saw revenue of $4.4 billion, up 4%, driven by solutions software, including security and analytics, and transaction processing software.
Global Business Services (includes consulting, global process services and application management)—had revenue of $4.1 billion, down 2%. Strategic imperatives revenue grew 10%, led by the cloud practice.
For details, go to www.ibm.com.
IBM likes to tout statistics that show how mainframes host a large portion of the world's corporate data. They have also noticed that users love to mine that same data for insights into their own customers' behavior. However, most organizations that want to digest and pull insights from that information go through long and expensive extract, transform and load processes to move that data onto an analytics platform.
To change that, IBM introduced Machine Learning for z/OS, which allows customers to perform analytics right where the data lives -- on the mainframe -- to avoid expensive and time-consuming ETL processes.
On the surface, this sounds like a no-brainer. Making deep analytics immediately available to operational mainframe systems is an excellent way to pursue common machine learning use cases such as fraud avoidance and customized customer experiences. This same model could help the financial and insurance industries make complicated, analytical decisions faster and with the added security and reliability of the mainframe.
But there are some potential hurdles for data center teams to note.
The technical makeup of IBM Machine Learning for z/OS
Machine Learning for z/OS consists of many components spread across z/Linux -- also called Linux on z Systems -- and z/OS. For the most part, the development, user interface and scheduling services run in z/Linux. The rest runs in z/OS, the bulk of which is Apache Spark. Nearly all the software is open source.
On the z/Linux side, IBM uses Jupyter as a robust environment for model development, maintenance, documentation and collaboration. IBM offers several options for software to schedule and deploy the models.
Inside z/OS, an Apache Spark cluster does the heavy work, and the model metadata lives in DB2. Along for the ride is a WebSphere Liberty profile-scoring service. Security depends on a Lightweight Directory Access Protocol server, which IBM's own Resource Access Control Facility can supply.
The heart of Machine Learning for z/OS is the Mainframe Data Service for Apache Spark (MDSS). MDSS allows Apache to access DB2, information management system, virtual storage access method and Systems Management Facility (SMF) data. This is the crucial access point that allows modeling and analytics engines in Spark to read mainframe data directly.
At first, SMF seems like an odd choice for data mining, as it rarely contains any business information. However, it is valuable to systems programmers, capacity planners and performance analysts. Machine Learning for z/OS will provide insights into mainframe performance, which, in turn, saves on software expenses. Additionally, organizations could use the results for automation and problem determination.
Cost, data management challenges
One of the biggest impediments to Machine Learning for z/OS is the cost of running the software on z/OS. Modeling and analytics are CPU-intensive by nature, which, ultimately, adds to customers' Monthly License Charge (MLC) expense. Fortunately, IBM intends for Spark to run on at least four System z Integrated Information Processors (zIIPs) to reduce general Central Processor (CP) consumption and avoid the MLC increase. You'll still have to be careful not to let computing bleed over to CPs. A generosity factor, which determines how much of a subsystem's processor is zIIP-eligible, might also apply. However, MLC charges don't apply to the Integrated Facility for Linux engines on which z/Linux components run.
It may be problematic to get the data. Some IBM products, like DB2 Analytics Accelerator, gobble and store entire databases, then apply updates when the user desires. There isn't a similar process for Machine Learning for z/OS. Instead, each model execution may have to read entire databases or representative samples, which can be time-consuming. Mass ingestions of data during the online day could create problems for the transaction processing systems that serve external customers. There are several mitigations to this that include copying the pertinent data to a nonoperational system or scheduling ingestions overnight.
According to IBM documentation, it doesn't look like operations systems will have the ability to run the machine learning models themselves. However, an enterprise data scientist might be able to externalize a model's results in the form of a table, rules or COBOL program.
While this isn't IBM's first cut at mainframe analytics, running the analysis itself on big iron is a bold idea. IBM bets that mining operational data and making analysis available to operational systems without ETL is worth the gamble. It's worth watching this space to see how IBM evolves Machine Learning for z/OS in the future.
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