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000-603 IBM System z Sales V6

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000-603 exam Dumps Source : IBM System z Sales V6

Test Code : 000-603
Test denomination : IBM System z Sales V6
Vendor denomination : IBM
: 52 real Questions

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IBM IBM System z Sales

IBM (IBM) Up three.9% because ultimate profits document: Can It continue? | killexams.com real Questions and Pass4sure dumps

A month has passed by seeing that the ultimate earnings document for IBM (IBM). Shares occupy introduced about 3.9% in that point frame, underperforming the S&P 500.

Will the contemporaneous advantageous vogue continue leading as much as its next income liberate, or is IBM due for a pullback? before they dive into how buyers and analysts occupy reacted as of late, let's ensnare a short seem on the most contemporaneous earnings document in an exertion to pick up a much better address on the essential drivers.

IBM this autumn earnings Beat Estimates, Revenues Decline Y/Y

international company Machines Corp delivered fourth-quarter 2018 non-GAAP revenue of $four.87 per share, which beat the Zacks Consensus appraise of $four.81 per share. despite the fact, salary per partake (EPS) decreased 5.9% from the yr-ago quarter. The year-over-year decline in EPS will furthermore be attributed to higher tax cost.

Revenues of $21.seventy six billion occupy been pretty much based on the Zacks Consensus appraise of $21.74 billion and declined three.5% on a year-over-year basis. At regular forex (cc), revenues dipped 1%. The year-over-yr decline can basically be attributed to alien money fluctuation and headwinds from IBM Z product cycle.

primarily, IBM mentioned that signings surged 21% on cc groundwork to $15.8 billion. capabilities backlog declined 1% year over yr and got here in at $116 billion.

Geographic revenue details

Revenues from Americas occupy been down 4%, reflecting the headwind from the IBM Z product cycle. besides the fact that children, continued growth in Latin the united states became a good.

Europe, center-East and Africa multiplied 2% from the year-ago quarter specifically due to growth in Spain, Germany, Italy and the U.okay.

Asia-Pacific revenues declined 1% on a 12 months-over-year foundation with modest boom in Japan.

Strategic Imperatives boom Continues

Strategic Imperatives (cloud, analytics, mobility and protection) grew 5% at cc from the 12 months-ago quarter to $11.5 billion. aside from IBM Z product cycle occupy an upshot on Strategic Imperatives grew eleven% year over 12 months.

protection revenues surged 17% (with the exception of IBM Z product cycle impact) and declined three% on cc basis. On a trailing 12-month foundation, Strategic Imperatives revenues were $40 billion, up 9%.

Cloud revenues surged 6% from the yr-ago quarter to $5.7 billion and 19% (aside from IBM Z product cycle influence). The annual race rate for cloud as-a-provider revenues accelerated 21% at cc on a year-over-12 months groundwork to $12.2 billion.

Cloud revenues of $19.2 billion on a trailing 12-month foundation expanded 12% 12 months over 12 months.

Cognitive Revenues Surge

Cognitive options’ revenues-external extended 2% 12 months over 12 months (on cc foundation) to $5.5 billion. Revenues from Cognitive options (together with solutions software and transaction processing) extended primarily due to enlarge in options software, including analytics and synthetic intelligence (AI).

Segmental revenues pertaining to Strategic Imperatives and Cloud extended 9% and 5%, respectively. Cloud as-a-provider earnings annual race rate became $2 billion.

solutions software comprises offerings in strategic verticals relish fitness, domain-selected capabilities relish analytics and protection, and IBM’s rising applied sciences of AI and blockchain. The segment additionally contains offerings that ply horizontal domains relish collaboration, commerce and skill. within the pronounced quarter, solutions application revenues extended 3% year over 12 months.

IBM brought up that the mixing of AI into offerings relish client adventure analytics in commerce belt helped SaaS signings to develop in double digit within the stated quarter.

Transaction Processing utility contains application that runs mission-important workloads, leveraging IBM’s hardware platforms. Revenues were up 1% on a 12 months-over-yr groundwork.

IBM witnessed growth in industry verticals relish health, key areas of analytics and safety in the quarter. Watson fitness witnessed large-primarily based enlarge in Payer, issuer, Imaging and lifestyles Sciences domains.

all through the fourth quarter, IBM expanded partnership with Vodafone group. Per the deal, IBM’s advanced hybrid cloud platform, AI, information superhighway of issues (“IoT”) capabilities will aid Vodafone company with digital transformation initiatives.

IBM cited that analytics carried out neatly within the quarter, driven with the aid of information science offerings and IBM Cloud deepest for data offering.

safety growth became pushed by means of choices in orchestration, data security and endpoint management.

Story continues

In blockchain, IBM introduced addition of a few modern shoppers any the way through the quarter, which contains “work with smart Dubai on the middle East’s first govt-endorsed blockchain platform.” The business furthermore unveiled an on-prem offering any over the pronounced quarter, the IBM Blockchain Platform for IBM Cloud inner most. several modern deal wins is furthermore aiding IBM to reinforce its foothold in blockchain expertise.

world company functions Revenues increase

Revenues from world company functions-external segment had been $four.3 billion, up 4% from the year-ago quarter (up 6% at cc). The yr-over-yr enlarge was essentially as a result of growth throughout any three company areas specifically consulting, application management and international system features.

Segmental revenues relating Strategic Imperatives grew 14%. Cloud celebrate surged 34%. Cloud as-a-carrier salary annual race expense was $2.1 billion.

application management revenues expanded four% from the 12 months-ago quarter. global process capabilities revenues climbed 5%. additionally, Consulting revenues expanded 10% year over 12 months, pushed by way of potent performance from IBM’s digital enterprise.

technology functions & Cloud systems: Revenues Dip

Revenues from expertise services & Cloud systems-exterior reduced 3% from the yr-ago quarter (flat at cc) to $8.9 billion. Segmental revenues concerning Strategic Imperatives superior 13%, driven with the aid of hybrid cloud features. Cloud surged 22% from the year-in the past quarter. Cloud as-a-service profits annual race rate was $8 billion.

Integration software extended 4% from the 12 months-in the past quarter. perquisite through the reported quarter, more than 100 agencies everywhere chosen IBM Cloud private providing. Infrastructure services revenues were flat on a 12 months-over-year groundwork.

Technical aid services revenues decreased three% from the 12 months-in the past quarter.

power & z14 drive systems Revenues

techniques revenues decreased 21% on a 12 months-over-year basis (down 20% at cc) to $2.6 billion, essentially because of strike of the IBM Z product cycle. Segmental revenues bearing on Strategic Imperatives plunged 22%, whereas Cloud revenues declined 31%.

IBM Z revenues reduced forty four% year over 12 months. although, MIPS capability has increased around 20%, driven by means of large-based adoption of the z14 mainframe.

power revenues expanded 10% from the 12 months-in the past quarter. The upside changed into certainly due to Linux and powerful adoption across the latest POWER9-based structure.

all the way through the fourth quarter, IBM completed the launch of its next generation POWER9 processors for midrange and excessive-conclusion programs that are designed for coping with advanced analytics, cloud environments and statistics-intensive workloads in AI, HANA, and UNIX markets.

IBM furthermore brought modern offerings optimizing each hardware and software for AI. management believes that items relish PowerAI imaginative and prescient and PowerAI business will uphold coerce modern client adoption.

although, storage hardware revenues declined because of weak performance in the mid-latitude end, partly offset by means of potent enlarge in any shimmer Arrays. IBM pointed out that pricing pressure within the immensely aggressive storage market is hurting revenues. The enterprise introduced its modern FlashSystems with next generation NVMe expertise any over the reported quarter.

working systems utility revenues declined 3%, while systems Hardware slumped 23% from the 12 months-in the past quarter.

eventually, world Financing (comprises financing and used machine earnings) revenues lowered eleven% year over 12 months and 9% at cc to $402 million.

operating details

Non-GAAP grievous margin remained unchanged from the yr-in the past quarter at forty nine.5%. The grievous margin benefited primarily with the aid of a hundred ninety basis elements (bps) expansion in functions margin. youngsters, destructive combine in IBM Z product cycle entirely offset this enlargement.

working fee declined 5.three% 12 months over yr, because of consciousness of acquisition synergies and improving operational efficiencies. IBM continues to invest in rapidly becoming fields relish hybrid cloud, synthetic intelligence (AI), safety and blockchain.

Pre-tax margin from carrying on with operations multiplied 50 bps on a yr-over-year foundation to 23.1%.

Cognitive solutions and international company services section pre-tax margins improved 290 bps and 520 bps, respectively, on a year-over-year foundation. however, technology capabilities & Cloud platforms segment pre-tax margin contracted 20 bps.

Non-GAAP working margins from carrying on with operations reduced in size 90 bps and came in at 20.three%.

stability Sheet & cash slither details

IBM ended fourth-quarter 2018 with $11.ninety nine billion in total cash and marketable securities in comparison with $14.70 billion at the conclusion of third-quarter 2018. total debt (including latest component) was $forty five.8 billion, down from $forty six.9 million from the previous quarter.

IBM stated cash circulation from operations (excluding international Financing receivables) of $7.3 billion and generated free money stream of $6.5 billion in the quarter below evaluate.

in the suggested quarter, the business back $three.5 billion to shareholders through dividends and partake repurchases. The company again more than $10 billion to shareholders through dividends and partake repurchases for the total fiscal yr.

on the conclusion of the 12 months, the business had $3.three billion ultimate under latest buyback authorization.

Fiscal 2018 Highlights

IBM mentioned fiscal 2018 non-GAAP profits of $13.81 per share, where as revenues got here in at $seventy nine.6 billion, up 1% each 12 months over yr.

Revenues from Cognitive options, international enterprise capabilities, expertise functions & Cloud platforms, methods and international Financing came in at $18.48 billion, $sixteen.eighty two billion, $34.forty six billion, $eight.03 billion and $1.59 billion, respectively.

counsel

IBM expects non-GAAP EPS forecast for 2019 to be as a minimum $13.ninety.

IBM noiseless anticipates 2019 free money flood of $12 billion.

How occupy Estimates Been poignant considering that Then?

It turns out, fresh estimates flatlined perquisite through the previous month.

VGM ratings

at this time, IBM has a subpar boom rating of D, however its Momentum rating is doing plenty more advantageous with a B. Charting a a bit equivalent direction, the stock changed into allotted a grade of A on the cost side, putting it within the top quintile for this investment approach.

ordinary, the inventory has an combination VGM rating of B. in case you don't seem to be focused on one strategy, this rating is the one be sure you be attracted to.

Outlook

IBM has a Zacks Rank #3 (grasp). They are expecting an in-line recrudesce from the stock within the following brace of months.

desire the newest innovations from Zacks investment research? today, that you would be able to download 7 most efficient shares for the subsequent 30 Days. click to pick up this free record foreign business Machines supplier (IBM) : Free stock evaluation report To read this article on Zacks.com click perquisite here. Zacks investment research


Microsoft Vs. IBM: One limpid Winner | killexams.com real Questions and Pass4sure dumps

No upshot discovered, are trying modern key phrase!The massive decline in programs was caused by the launch of the Z-mainframe rolling ... 15% YOY TTM SI income growth: 22% YOY although, it will be brought up that IBM has been affected by continuously ...

IBM apologizes for the employ of ‘yellow’ and ‘mulatto’ on job application | killexams.com real Questions and Pass4sure dumps

analysis TRIANGLE PARK – An executive for IBM issued an justification to media retailers on Monday and Tuesday after studies emerged that an online software kindhearted used phrases “yellow” and “mulatto” when inquiring for an applicant’s ethnicity.

“Our recruiting sites temporarily and inappropriately solicited counsel regarding job applicant ethnicity,” Edward Barbini, IBM’s vice chairman of external relations, informed The Register in the UK on Monday night.

“those questions occupy been eliminated automatically once they became privy to the rigor and they affirm sorry. IBM hiring is in response to potential and skills. They don't employ race or ethnicity in the hiring procedure and any responses they obtained to those questions might be deleted.

where execute Gen Z employees are looking to work? IBM. What jobs execute they need? application

“IBM has long rejected any styles of racial discrimination and we're taking applicable steps to invent unavoidable this does not ensnare region again.”

large Blue furthermore despatched the justification by means of e mail to The Washington publish, which furthermore suggested the story.

The Register first suggested the story, citing counsel posted on Twitter from someone in the hunt for employment with IBM in the US.

“Naturally, i used to be stunned to scrutinize this on an software from what I frequently accept as trusty with to be a revered and pleasurable expertise business,” pointed out the job hopeful. The Register chose not to determine him.

Cary resident among 3 IBMers suing massive Blue for age discrimination

“It made me arbiter as though there are biases and prejudices that exist, that may additionally travel unchecked or unnoticed, that may additionally even be without retard contrary to what the enterprise as an entire tries to existing as their values and photograph. also, the incontrovertible fact that it's 2019, and to peer something relish this, blows my mind,” the Register quoted him as asserting.

The submit recognized the applicant as Richard Park. 

The gaff changed into not decent tidings for IBM.

‘IBM can't eschew discrimination legal guidelines,’ says legal professional in age prejudice swimsuit

“It’s not a pretty pleasurable search huge Blue, which is striving to loom hip and woke to appeal to more youthful and more distinctive skill, while heading off proceedings accusing it of discrimination,” The Register cited.

“Former IBM cloud income ace Jonathan Langley sued the enterprise for age discrimination remaining 12 months, as did award-successful IBMer Terry Keebaugh past this yr, joining different legal action lodged against the biz. IBM denies any wrongdoing in any situations.”

extra recent WRAL TechWire headlines about IBM:

IBM exec to startups: pick up trained on blockchain or risk getting left at the back of

In latest computing device vs. human, IBM’s undertaking Debater loses (+ video: watch the debate)

way forward for food provide: IBM scientists address challenges from seed to desk to trash (+ video)


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Power Systems: Driving More Revenue Than Initially Thought | killexams.com real questions and Pass4sure dumps

February 25, 2019 Timothy Prickett Morgan

Any model takes refinement, whether it is something a human spreadsheet jockey puts together or it is a distributed neural network that is trained with machine learning techniques to execute some kindhearted of identification and manipulation of data. So it is with the Power Systems revenue model I assign together a month ago in the wake of IBM reporting its fiscal results for the fourth quarter.

I did not really suggest to pick up into it at the time. I was just going to assemble a short table of the constant currency growth rates of the Power Systems business and I just kept going back in time and wondering what this data really meant. Constant currency growth rates are bewitching for month-to-month and year-to-year comparisons for a business that does business in many currencies around the globe, but it doesn’t really recount you the size of the Power Systems business. As a refresher, here is what that growth chart for Power Systems looks like:

So I went back in time and took my best stab, based on information from the analysts at Gartner and IDC, on reckoning what the quarterly revenues for Power Systems were in 2009, and I converted the constant currency growth rates that IBM supplies each quarter with the as-reported figures, which are reported in multiple currencies and converted to U.S. dollars at the cessation of each quarter according to the relative (and often fluctuating) values of those currencies against the U.S. dollar.

I made what was a pretty pleasurable model from this. But after getting some feedback and furthermore giving it a bit more thought, I came to the conclusion that the initial revenue model was a Little short on the external sales – meaning those that are reported as external sales by IBM when it is talking to the Securities and Exchange Commission – in a few different and essential ways, some of which are easier to guesstimate than others.

The first way it was modest is just that it was simply too low for the external sales. Not much, but a significant amount that requires the model to be adjusted for 2018 and backcast any the way back to 2009. My initial model reckoned that external Power Systems sales (again, meaning those not sold to other IBM divisions but those sold to cessation users and channel partners) in 2018 came to a tad bit more than $1.6 billion, but I reckon now that it is more relish $1.78 billion. That may not sound relish much, but it is an 11 percent incompatibility in the model, and I pride myself on being within 5 percent or less in most things. But this is very tough to execute in the absence of data, and any I can affirm is that I arbiter it is more accurate now based on feedback and modern data.

But that is not any of the Power Systems sales that IBM does, and the picture is more complex, and this week I want to try to ensnare on some of that complexity to present a more accurate picture. In addition to those external sales of Power Systems gear to channel partners and users, IBM furthermore “sells” Power Systems machinery to the Storage Systems unit that is piece of Systems group as the foundation of various storage arrays, relish the DS8800 sequence disk/flash hybrid arrays, and software-defined storage relish Spectrum Scale (GPFS) and Lustre parallel file systems as well as various object, key/value, and screen storage engines. Back in the day, IBM used to give hints about how much of its as-reported revenues came from servers, storage, and chip manufacturing, but it no longer does this. It does talk about growth in storage hardware, so they can slither forward from the old-fashioned data to the modern and try to pattern out how much Power Systems iron, and its value, is underpinning various IBM storage. It is hard to affirm with any precision, but the Power Systems portion of storage looks to be somewhere north of $200 million in 2018 – my guess is $226 million, up 15 percent from 2017 levels and considerably higher noiseless than levels in 2016. In any event, when you add that storage piece of the Power Systems business in – which IBM does not demolish out itself – then the Power Systems division probably brought in something north of $2 billion in revenues in 2018.

Here is what the chart showing external Power System servers and internal storage-related Power Systems revenues scrutinize relish together:

Those storage-related Power Systems sales are relish icing on the cake, as you can see, ranging somewhere between 8 percent and 13 percent of total Power Systems sales (with just these two items, which is not the complete picture).

Here is what this data looks relish if you annualize it and consolidate these Power Systems sales:

That gives you a better project of the slope of the revenue bars. And if you relish real data, here is the table of the data behind that:

If you want to really complete the picture on Power Systems hardware sales, there is one more thing that needs to be added in: Strategic outsourcing contracts involving Power Systems machinery. There are some very large organizations that occupy very large compute complexes based on Power iron, and in a lot of cases, they are much larger aggregations of systems than even System z shops have. And many of these customers occupy IBM manage these systems under an outsourcing condense through the Global Technology Services business. And when GTS buys iron to upgrade Power machinery for customers, this is not included in the externally reported figures. It is hard to pattern how much Power machinery GTS consumes, and at what price, but here’s what they can say. IBM could invent that charge anything it wanted, any quarter that it wanted, so there are probably practices in region to assess that gear that GTS buys at a impartial market value to avoid the appearance of impropriety. If you scrutinize at the annual revenues for Systems group, which includes Power Systems and System z servers, operating systems for these machines, and storage, IBM sold a total of $8.85 billion in hardware and operating systems, with $814 million of that being to internal IBM groups; I reckon that most of that went to GTS for outsourcing, and further that about half went for servers, a quarter went for storage, and a quarter for operating systems. It is not hard to imagine that several hundred million dollars in Power Systems iron was “bought” by GTS for outsourcing contracts terminal year. So maybe the “real” revenues for Power Systems hardware is more relish $2.3 billion, and with maybe a quarter of the $1.62 billion in operating systems being on Power iron (the other three quarters comes from very expensive software on System z mainframes), the breakdown of the $2.66 billion or so in Power Systems revenue might scrutinize relish this:

This is a larger business than many might occupy expected, and it is profitable and growing. It could be worse. And it has been. And it is getting better.

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The modern Bellwether For Enterprise IT | killexams.com real questions and Pass4sure dumps

The amount of rejiggering among the IT vendors serving enterprise customers (as distinct from hyperscalers, cloud builders, and HPC centers) in the past decade and a half has been astounding. And it is not yet limpid what coalesce of products and services will bow long-term profitability for those who are playing the long game, and playing it big.

Hewlett Packard Enterprise and Dell Technologies, as they are now called, tried to build up IT conglomerates that, relish IBM, had the four pillars of the IT budget – hardware, software, services, and financing. And then, when that didn’t work out, both companies decided to change strategies. HPE sold off its PC and printer business and backed away from hyperscaler and cloud system sakes, while Dell held onto its PC business, went private, and bought EMC and VMware to bolster its core IT business, and did a reverse merger with VMware to travel public as 2018 came to a close. IBM started this any off by selling off its PC, tall cessation printer, disk drive, and chip businesses and then sold off its System x X86 server business to concentrate on its Power Systems and System z platforms. IBM’s systems business is quite profitable, as they occupy revealed, but the company noiseless struggles to build its public cloud and to invent services invent money even as they generate a huge amount of revenue.

HPE is smaller and not particularly profitable, as they showed in analyzing that company’s financials terminal week. Dell has become a lot larger than the remaining HPE, and has reached the very scabrous revenue level as mammoth Blue, although the companies occupy very different product and customer profiles. IBM has very much focused on large enterprises and HPC centers with some dabbling in hyperscale here and there with the Power platform. Dell noiseless has a sizeable amount of revenue coming from PCs (both commercial and consumer buyers) and various IT gear that is sold to minute and medium businesses. IBM has some SMB business, but that is mostly focused on its IBM i (formerly AS/400) midrange server business, which is piece of the Power Systems division, which is now called the Cognitive Systems division to emphasize the fact that these machines are doing database, analytics, transaction processing, and other hefty work, not running basic infrastructure.

Dell completed its reverse merger with VMware, which it owned a majority stake in, back in December, which cost it $21 billion, of which $11 billion was paid in cash to outstanding VMware shareholders, and $10 billion was paid in Dell stock. This maneuver allowed Dell’s stock to loom on the modern York Stock Exchange, where VMware was traded, for the first time since Dell went private in a $24 billion buyout six years ago. At the time, Michael Dell wanted the company that bears his denomination to travel private so it could maneuver the business without the judgements of public shareholders and analysts on Wall Street. In the interim, with the buying of EMC and therefore its minion VMware, and then the reverse merger, Dell has spent a fortune reconfiguring itself and it has noiseless not institute its way to profitability. But the company is eating market partake relish crazy in servers and storage, and is holding its own in PCs, and is poignant towards profitability ever so slowly.

Dell has so many poignant parts over the past brace of years, with units and divisions coming and going, that it would be nearly impossible to pick up a consistent set of numbers to present how these aggregate businesses occupy done since the mighty Recession, which is when a major inflection point was tipped in so many different parts of the economy and which is therefore a pleasurable starting point for analyzing any company in the current era. With the current data that Dell Technologies, the parent company, has made available since going private and buying EMC and VMware and divesting its services business, they can travel back four years. (Note: Dell’s fiscal year ends in late January or early February, so the data is not presented on a calendar basis.)

Going private was clearly about buying time to create a much larger infrastructure behemoth while preserving volume discount leverage with Intel and other core component suppliers (think memory, disk, and flash) through keeping its PC business rather than selling it off or spinning it out. What is limpid from the chart above is that Dell has become considerably larger over the past four years. In fiscal 2018 ended on February 2, Dell had grown revenues by 15 percent to $90.62 billion, with product sales up 18 percent to $71.29 billion and services sales (mostly break/fix stuff on the vast installed base of outfit it has sold, but furthermore including subscriptions to software) rising only 3 percent to $19.33 billion. That is noiseless an gargantuan services business, by the way. But IBM’s services business, as a whole, is about 2.5X larger. For that complete fiscal 2018 year, Dell lost $2.31 billion, which was not as disagreeable as the $3.35 billion in losses it had in fiscal 2018 but it was noiseless larger than the $1.1 billion loss it had back in fiscal 2016 when it posted $51.17 billion in sales and the $1.67 billion loss it had in fiscal 2017 against $61.91 billion in sales. The point is, growth has approach at the cost of profitability overall as a company.

But don’t pick up the wrong impression. The company’s core server, networking, and virtualization software businesses are profitable, at an operating level. It is servicing its gargantuan debt that is costing Dell so much money, and it is not a astound to anyone that this is the case at this point.

It may be surprising that Dell has approach back to the stock market before it was solidly profitable, but it wasn’t to ride its stock up as it squeezes more profits out of the business and continues to grow, and had it waited until it was done to emerge back on Wall Street, there would be no hero’s tale to recount as the fight was progressing. If Dell can achieve the synergies in its enterprise business, sustain selling gear to some hyperscalers and cloud builders, and tend to its vast SMB fields, then there is every random that Dell – the company and the man – could pay down its debts through profits and be free of any encumbrances.

Dell has been growing its PowerEdge server business for the past nine quarters and has four quarters of growth under its belt for its aggregate storage business, too. VMware, despite any of the challenges that it faces with the Microsoft Windows Server stack with Hyper-V and the Red Hat Enterprise Linux Stack with KVM, and not to mention any of the myriad ways to bring Docker containers and Kubernetes orchestration in to execute away with virtual machines, is noiseless very profitable indeed and is noiseless growing.

Let’s travel through some numbers, first for the fourth quarter and then for the complete fiscal year to present you.

In the fourth quarter, Dell server and networking sales were up 14.8 percent to $5.25 billion. Server revenues were growing at a faster clip in the first three quarters of fiscal 2019, so it looks relish Dell was sentiment some pressure, but less than a lot of other players for sure. Storage sales rose by 9.4 percent to $4.64 billion. Add it up, and the Infrastructure Solutions Group at Dell nearly broke through the $10 billion barrier for the quarter, with sales up 12.2 percent to $9.89 billion. Operating income for Infrastructure Services Group rose by 69.1 percent to $1.27 billion, so this is any poignant in the perquisite direction.

In talking over the numbers with Wall Street, Jeff Clarke, vice chairman and the person in suffuse of products and operations at Dell, said that there was room for the company to grow its partake of $85 billion datacenter infrastructure market, with about two thirds of that coming from mainstream servers and Dell only having about a third of the market. (We arbiter that it is very tough to pick up even a third of a market with so many players in it, and am impressed that Dell has been able to ensnare so much market partake at any to become the preponderant supplier of enterprise servers and storage in the world and noiseless remain a player in the custom server racket.)

“We arbiter there is room to grow there,” Clarke explained. “I arbiter that is bolstered by the fact that they noiseless contemplate on-prem private cloud in an early build out. They talked on the previous summon and throughout their sequence of roadshows, about repatriation of workloads, coming back to on-prem; they continue to contemplate that. There has been some recent research by IDC that suggest there will be $120 billion spent on hardware for on-prem private clouds over the next four years and another $100 billion on software and services on top of that. They arbiter that bodes well for the environment on a go-forward basis. And as is clear, they are in a multi cloud and hybrid cloud world.”

For the year, the Servers and Networking unit had $19.95 billion in sales, up 29.1 percent. Storage sales, across a wide variety of products that are being rationalized, organized, paired down, and focuses, rose by 9.6 percent in fiscal 2019, to $16.68 billion. For the complete year, Infrastructure Solutions Group had an operating income of $4.15 billion, up 61 percent, so this is a huge improvement in profitability.

It wasn’t that long ago when Dell itself was only a $20 billion company aspiring to be a $60 billion company within a decade, and only three years ago, minus EMC, Dell’s infrastructure business was less than half its current size and its storage business was one-eighth its current size.

The VMware unit has been kept divorce from servers for now as Dell is reporting its numbers, and its virtual server business (which runs on lot of iron from its competitors in the X86 server business) is only half the size of its physical server business. In the fourth quarter, VMware’s sales were up 13.2 percent to $2.64 billion, and its operating profit rose by 4.6 percent to $872 million, or about a third of revenues and by far the most profitable thing Dell has ever had its hands on. For the complete fiscal year, VMware brought in $9.1 billion in sales, up 12.4 percent, and operating income rose by 6.3 percent to just a tad under $3 billion. VMware’s virtual server business might be half the size of the physical server business, but assuming that servers are as profitable as storage (maybe not a pleasurable assumption), the virtual servers are three times as profitable. In the quarter, bookings for NSX virtual networking were up by more than 50 percent, and bookings for vSAN virtual storage rose by over 60 percent.

Interestingly, the VMware Cloud on AWS inked its largest deal to date, for $20 million of services, to race the ESXi hypervisor, vSphere management tools, and a gross lot of cloud management tools on AWS iron for, they presume, a multi-year term. VxRail hyperconverged appliances occupy a $2 billion annual race rate, and so does the NSX virtual networking portfolio, which had $1.3 billion in bookings in fiscal 2019; it is not limpid where vSAN is at in terms of bookings for the year or its annualized race rate as Dell exited the fourth quarter.

If you add up servers, storage, networking, and VMware, then Dell had sales of $45.81 billion, up 17.9 percent, and operating income of $7.14 billion, up 32.4 percent. In this case, the underlying profit is growing at twice the rate as the revenues, which is something IT vendors fondness to attain. The project now is to grow the revenues and shove Dell into an actual profit even though it has to pay down a lot of debts for the next brace to several to many years. (It is hard to say, especially if you scrutinize at its debt statements, which are a twisty turny legend indeed.)

In the Others category, which includes sales of Pivotal, SecureWorks, RSA, Virtustream, and Boomi products, sales were up 5 percent to $593 million, which Dell does not arbiter individually are large enough to summon out separately. This Others category runs a qualify profit or loss in any given quarter and does not really strike the overall Dell company at this point.

If anything, Dell is a Little more storage hefty than the industry at large, but it has any of the components of modern systems in its revenue streams, and on the volume platforms deployed in the market, unlike any of its peers.

Given this, Dell is perhaps the best reflection of core spending in the enterprise datacenter that they have. Its minute and medium business customers, as Clarke pointed out, are the canaries in the coal mine. If they cease spending any of a sudden, that means large enterprise are likely going to follow. Even though growth in servers has slowed significantly, Dell and others are expecting for server purchasing to continue to be aggressive if growing more slowly than in the past five quarters. IBM used to be the bellwether, then it was HPE for a while when it was just called Hewlett Packard, and now it seems to be Dell Technologies.


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

In September 2018, IBM announced a modern 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 picture 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, remembrance 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 strike system configuration changes that can ameliorate 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 generic Db2 subsystem performance is an essential factor in overall application health and performance, IBM estimates that the DBA uphold 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 uphold one or more mammoth 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 relate methods and others. In the data warehouse and mammoth 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, remembrance and other resources. Finally, the Optimizer takes the lowest cost access path, stores it in remembrance (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 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 execute pleasurable analytics on your multiple data stores you need a pleasurable 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 uphold this environment, especially with the most experienced and ripen staff nearing retirement?

    Understand furthermore that a large piece of reducing the total cost of ownership of these systems is to pick up 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 be 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 collect and store SQL query text and access path details, as well as actual performance-related historical information such as CPU time used, elapsed times and result set sizes. This offering, described as Db2 AI for z/OS, analyzes and stores the data in machine learning models, with the model analysis results then being scored and made available to the Db2 Optimizer. The next time a scored SQL statement is encountered, the Optimizer can then employ the model scoring data as input to its access path preference algorithm.

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

    This can be particularly essential if you store data in multiple places. For example, many analytical queries against mammoth data require concurrent access to unavoidable 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 mammoth data queries. In this environment it is common to ensnare the dimension tables and copy them regularly to the mammoth data application. In the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now arbiter about SQL queries from both operational applications, data warehouse users and mammoth data business analysts. From Db2's perspective, any 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 mammoth 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 invent 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 elucidate 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 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 furthermore 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 commandeer 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 upshot in Db2 version 12 to ameliorate 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 uphold staff must be 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 execute you know your data, its distribution, its integrity and your current and proposed access paths? This will determine where the DBAs expend their time in supporting analytics and operational application performance.

    # # #

    Reference 1

    John Campbell, IBM Db2 Distinguished EngineerFrom "IBM Db2 AI for z/OS: Boost IBM Db2 application performance with machine learning"https://www.worldofdb2.com/events/ibm-db2-ai-for-z-os-boost-ibm-db2-application-performance-with-ma

    Reference 2

    Db2 AI for z/OShttps://www.ibm.com/support/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html

    See any articles by Lockwood Lyon



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