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IBM IBM System z Sales

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

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

Will the synchronous 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 beget reacted as of late, let's Take a short appear on the most synchronous earnings document in an endeavor to accumulate 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 assay of $four.81 per share. despite the fact, salary per share (EPS) decreased 5.9% from the yr-ago quarter. The year-over-year decline in EPS will moreover exist attributed to higher tax cost.

Revenues of $21.seventy six billion beget been pretty much based on the Zacks Consensus assay 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 exist attributed to eccentric 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 beget 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 beget an result 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 quicken 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 quicken rate became $2 billion.

solutions software comprises offerings in strategic verticals dote fitness, domain-selected capabilities dote analytics and protection, and IBM’s rising applied sciences of AI and blockchain. The segment additionally contains offerings that manipulate horizontal domains dote 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 dote client adventure analytics in commerce locality 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 dote 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 fresh shoppers shameful the artery through the quarter, which contains “work with smart Dubai on the middle East’s first govt-endorsed blockchain platform.” The trade moreover unveiled an on-prem offering shameful over the pronounced quarter, the IBM Blockchain Platform for IBM Cloud inner most. several fresh deal wins is moreover 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 shameful three company areas specifically consulting, application management and international system features.

Segmental revenues relating Strategic Imperatives grew 14%. Cloud commemorate surged 34%. Cloud as-a-carrier salary annual quicken 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 artery 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 quicken 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 affect of the IBM Z product cycle. Segmental revenues mien 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 artery 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 moreover brought fresh offerings optimizing each hardware and software for AI. management believes that items dote PowerAI imaginative and prescient and PowerAI trade will support constrain fresh client adoption.

although, storage hardware revenues declined because of feeble performance in the mid-latitude end, partly offset by means of potent enlarge in shameful twinkle Arrays. IBM pointed out that pricing pressure within the immensely aggressive storage market is hurting revenues. The enterprise introduced its fresh FlashSystems with next generation NVMe expertise shameful 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 shameful margin remained unchanged from the yr-in the past quarter at forty nine.5%. The shameful 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 dote 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 plod 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 trade back $three.5 billion to shareholders through dividends and share repurchases. The company again more than $10 billion to shareholders through dividends and share repurchases for the total fiscal yr.

on the conclusion of the 12 months, the trade 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.


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

IBM quiet anticipates 2019 free money rush of $12 billion.

How beget Estimates Been stirring 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 appear to exist focused on one strategy, this rating is the one exist certain you exist attracted to.


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

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

Microsoft Vs. IBM: One transparent Winner | true Questions and Pass4sure dumps

No result discovered, are trying fresh 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 exist brought up that IBM has been affected by continuously ...

IBM apologizes for the exercise of ‘yellow’ and ‘mulatto’ on job application | true Questions and Pass4sure dumps

analysis TRIANGLE PARK – An executive for IBM issued an apologia to media retailers on Monday and Tuesday after studies emerged that an online software kind 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 beget been eliminated automatically once they became privy to the rigor and they lisp sorry. IBM hiring is in response to potential and skills. They don't exercise race or ethnicity in the hiring procedure and any responses they obtained to those questions might exist deleted.

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

“IBM has long rejected shameful styles of racial discrimination and we're taking applicable steps to capitulate certain this does not Take station again.”

large Blue moreover despatched the apologia by means of e mail to The Washington publish, which moreover 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 exist stunned to behold this on an software from what I frequently accept as impartial with to exist a revered and safe 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 consider as though there are biases and prejudices that exist, that may additionally depart unchecked or unnoticed, that may additionally even exist without retard balky 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 dote 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 shun discrimination legal guidelines,’ says legal professional in age bias swimsuit

“It’s not a pretty safe quest 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 shameful situations.”

extra recent WRAL TechWire headlines about IBM:

IBM exec to startups: accumulate 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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IBM System z Sales V6

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Power Systems: Driving More Revenue Than Initially Thought | true 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 kind of identification and manipulation of data. So it is with the Power Systems revenue model I set aside together a month ago in the wake of IBM reporting its monetary results for the fourth quarter.

I did not really imply to accumulate into it at the time. I was just going to assemble a short table of the constant currency growth rates of the Power Systems trade and I just kept going back in time and wondering what this data really meant. Constant currency growth rates are captivating for month-to-month and year-to-year comparisons for a trade that does trade 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 linger 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 safe model from this. But after getting some feedback and moreover giving it a bit more thought, I came to the conclusion that the initial revenue model was a miniature short on the external sales – import those that are reported as external sales by IBM when it is talking to the Securities and Exchange Commission – in a few different and significant ways, some of which are easier to guesstimate than others.

The first artery it was coy is just that it was simply too low for the external sales. Not much, but a significant amount that requires the model to exist adjusted for 2018 and backcast shameful the artery back to 2009. My initial model reckoned that external Power Systems sales (again, import those not sold to other IBM divisions but those sold to linger users and channel partners) in 2018 came to a tad bit more than $1.6 billion, but I reckon now that it is more dote $1.78 billion. That may not sound dote much, but it is an 11 percent disagreement 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 shameful I can lisp is that I consider it is more accurate now based on feedback and fresh data.

But that is not shameful of the Power Systems sales that IBM does, and the picture is more complex, and this week I want to try to Take 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 moreover “sells” Power Systems machinery to the Storage Systems unit that is piece of Systems group as the foundation of various storage arrays, dote the DS8800 sequence disk/flash hybrid arrays, and software-defined storage dote Spectrum Scale (GPFS) and Lustre parallel file systems as well as various object, key/value, and obstruct 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 plod forward from the former data to the fresh and try to figure out how much Power Systems iron, and its value, is underpinning various IBM storage. It is difficult to lisp with any precision, but the Power Systems portion of storage looks to exist somewhere north of $200 million in 2018 – my guess is $226 million, up 15 percent from 2017 levels and considerably higher quiet than levels in 2016. In any event, when you add that storage piece of the Power Systems trade in – which IBM does not wreck 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 behold dote together:

Those storage-related Power Systems sales are dote 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 dote if you annualize it and consolidate these Power Systems sales:

That gives you a better conception of the slope of the revenue bars. And if you dote true 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 exist added in: Strategic outsourcing contracts involving Power Systems machinery. There are some very big organizations that beget very big 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 beget IBM manage these systems under an outsourcing compress 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 difficult to figure how much Power machinery GTS consumes, and at what price, but here’s what they can say. IBM could capitulate that price anything it wanted, any quarter that it wanted, so there are probably practices in station to assess that gear that GTS buys at a impartial market value to avoid the appearance of impropriety. If you behold 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 difficult to imagine that several hundred million dollars in Power Systems iron was “bought” by GTS for outsourcing contracts eventual year. So maybe the “real” revenues for Power Systems hardware is more dote $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 behold dote this:

This is a larger trade than many might beget expected, and it is profitable and growing. It could exist worse. And it has been. And it is getting better.


Taking At Stab At Modeling The Power Systems Business

Power Systems preserve Growing To Finish Off 2018

Systems A knowing Spot In Mixed Results For IBM

The Frustration Of Not Knowing How They Are Doing

Power Systems Posts Growth In The First Quarter

IBM’s Systems Group On The monetary Rebound

Big Blue Profits, Poised For The Power9

The Power Neine Conundrum

IBM Commits To Power9 Upgrades For huge Power Systems Shops

The fresh Bellwether For Enterprise IT | true questions and Pass4sure dumps

The amount of rejiggering among the IT vendors serving enterprise customers (as several from hyperscalers, cloud builders, and HPC centers) in the past decade and a half has been astounding. And it is not yet transparent what amalgamate of products and services will capitulate 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, dote IBM, had the four pillars of the IT budget – hardware, software, services, and financing. And then, when that didn’t drudgery out, both companies decided to change strategies. HPE sold off its PC and printer trade 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 depart public as 2018 came to a close. IBM started this shameful off by selling off its PC, towering linger printer, disk drive, and chip businesses and then sold off its System x X86 server trade to concentrate on its Power Systems and System z platforms. IBM’s systems trade is quite profitable, as they beget revealed, but the company quiet struggles to build its public cloud and to capitulate services capitulate 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 eventual week. Dell has become a lot larger than the remaining HPE, and has reached the selfsame rough revenue flush as huge Blue, although the companies beget very different product and customer profiles. IBM has very much focused on big enterprises and HPC centers with some dabbling in hyperscale here and there with the Power platform. Dell quiet has a sizeable amount of revenue coming from PCs (both commercial and consumer buyers) and various IT gear that is sold to minuscule 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 weighty 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 fresh 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 title to depart private so it could maneuver the trade 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 quiet not institute its artery to profitability. But the company is eating market share dote crazy in servers and storage, and is holding its own in PCs, and is stirring towards profitability ever so slowly.

Dell has so many stirring parts over the past pair of years, with units and divisions coming and going, that it would exist nearly impossible to accumulate a consistent set of numbers to present how these aggregate businesses beget done since the remarkable Recession, which is when a major inflection point was tipped in so many different parts of the economy and which is therefore a safe 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 depart 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 trade rather than selling it off or spinning it out. What is transparent 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 groundwork of materiel it has sold, but moreover including subscriptions to software) rising only 3 percent to $19.33 billion. That is quiet an enormous 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 contaminated as the $3.35 billion in losses it had in fiscal 2018 but it was quiet 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 Come at the cost of profitability overall as a company.

But don’t accumulate the wrong impression. The company’s core server, networking, and virtualization software businesses are profitable, at an operating level. It is servicing its enormous 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 exist surprising that Dell has Come 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 trade and continues to grow, and had it waited until it was done to emerge back on Wall Street, there would exist no hero’s tale to recount as the fight was progressing. If Dell can achieve the synergies in its enterprise business, preserve selling gear to some hyperscalers and cloud builders, and mind to its vast SMB fields, then there is every chance that Dell – the company and the man – could pay down its debts through profits and exist free of shameful encumbrances.

Dell has been growing its PowerEdge server trade for the past nine quarters and has four quarters of growth under its belt for its aggregate storage business, too. VMware, despite shameful 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 shameful of the myriad ways to bring Docker containers and Kubernetes orchestration in to execute away with virtual machines, is quiet very profitable indeed and is quiet growing.

Let’s depart 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 dote Dell was feeling 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 shameful stirring in the perquisite direction.

In talking over the numbers with Wall Street, Jeff Clarke, vice chairman and the person in pervade of products and operations at Dell, said that there was play for the company to grow its share 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 consider that it is very tough to accumulate even a third of a market with so many players in it, and am impressed that Dell has been able to Take so much market share at shameful to become the dominant supplier of enterprise servers and storage in the world and quiet remain a player in the custom server racket.)

“We consider there is play to grow there,” Clarke explained. “I consider that is bolstered by the fact that they quiet view on-prem private cloud in an early build out. They talked on the previous muster and throughout their sequence of roadshows, about repatriation of workloads, coming back to on-prem; they continue to view that. There has been some recent research by IDC that intimate there will exist $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 consider 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 exist a $60 billion company within a decade, and only three years ago, minus EMC, Dell’s infrastructure trade was less than half its current size and its storage trade 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 trade (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 trade might exist half the size of the physical server business, but assuming that servers are as profitable as storage (maybe not a safe 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 quicken 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 beget a $2 billion annual quicken rate, and so does the NSX virtual networking portfolio, which had $1.3 billion in bookings in fiscal 2019; it is not transparent where vSAN is at in terms of bookings for the year or its annualized quicken 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 admire to attain. The conception now is to grow the revenues and push Dell into an actual profit even though it has to pay down a lot of debts for the next pair to several to many years. (It is difficult to say, especially if you behold at its debt statements, which are a twisty turny tale 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 consider individually are big enough to muster out separately. This Others category runs a qualify profit or loss in any given quarter and does not really affect the overall Dell company at this point.

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

Given this, Dell is perhaps the best reflection of core spending in the enterprise datacenter that they have. Its minuscule and medium trade customers, as Clarke pointed out, are the canaries in the coal mine. If they discontinue spending shameful of a sudden, that means big 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 exist aggressive if growing more slowly than in the past five quarters. IBM used to exist the bellwether, then it was HPE for a while when it was just called Hewlett Packard, and now it seems to exist Dell Technologies.

IBM Db2 Query Optimization Using AI | true questions and Pass4sure dumps

In September 2018, IBM announced a fresh 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 exercise 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 exercise 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 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 universal Db2 subsystem performance is an significant 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 occasions 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 huge 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 being 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 exist accessed and develops a list of candidate data access paths. These access paths can comprise indexes, table scans, various table link methods and others. In the data warehouse and huge data environments there are usually additional choices available. One of these is the being 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 comprise software suites that allow the trade analyst to exercise 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 safe analytics on your multiple data stores you exigency a safe 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 age staff nearing retirement?

    Understand moreover that a big piece of reducing the total cost of ownership of these systems is to accumulate Db2 applications to quicken faster and more efficiently. This usually translates into using fewer CPU cycles, doing fewer I/Os and transporting less data across the network. Since it is often difficult to even identify which applications could profit from performance tuning, one approach is to automate the detection and correction of tuning issues. This is where machine learning and synthetic intelligence can exist used to remarkable effect.

    Db2 12 for z/OS and synthetic Intelligence

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

    The result should exist a reduction in CPU consumption as the Optimizer uses model scoring input to elect 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 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 exist particularly significant if you store data in multiple places. For example, many analytical queries against huge data require concurrent access to certain data warehouse tables. These tables are commonly called dimension tables, and they contain the data elements usually used to control subsetting and aggregation. For example, in a retail environment consider a table called StoreLocation that enumerates every store and its location code. Queries against store sales data may wish to aggregate or summarize sales by Location; hence, the StoreLocation table will exist used by some huge data queries. In this environment it is common to Take the dimension tables and copy them regularly to the huge data application. In the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now consider about SQL queries from both operational applications, data warehouse users and huge data trade analysts. From Db2's perspective, shameful these queries are equal, and are forwarded to the Optimizer. However, in the case of operational queries and warehouse queries they should most likely exist directed to access the StoreLocation table in the warehouse. On the other hand, the query from the trade analyst against huge data tables should probably access the copy of the table there. This results in a proliferations of potential access paths, and more drudgery for the Optimizer. Luckily, Db2 AI for z/OS can provide the Optimizer the information it needs to capitulate 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 define operation, an SQL statement is passed to the Optimizer;
  • The Optimizer chooses the data access path; as the choice is made, Db2 AI captures the SQL syntax, access path choice and query performance statistics (CPU used, etc.) and passes it to a "learning task";
  • The learning task, which can exist 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 moreover can exist 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 preempt changes to access path choices.
  • There are moreover various user interfaces that give the administrator visibility to the status of the accumulated SQL statement performance data and model scoring.


    IBM's machine learning for zOS (MLz) offering is being used to remarkable result 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 exist tasked to reviewing the result of model scoring, and perhaps approving (or overriding) the results? How will you review and justify the assumptions that the software makes about access path choices?

    In other words, how well execute you know your data, its distribution, its integrity and your current and proposed access paths? This will determine where the DBAs spend their time in supporting analytics and operational application performance.

    # # #

    Reference 1

    John Campbell, IBM Db2 Distinguished EngineerFrom "IBM Db2 AI for z/OS: Boost IBM Db2 application performance with machine learning"

    Reference 2

    Db2 AI for z/OS

    See shameful articles by Lockwood Lyon

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