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M2090-743 - IBM Big Data and Analytics Sales Mastery v2 - Dump Information

Vendor : IBM
Exam Code : M2090-743
Exam Name : IBM Big Data and Analytics Sales Mastery v2
Questions and Answers : 20 Q & A
Updated On : December 18, 2018
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M2090-743 IBM Big Data and Analytics Sales Mastery v2

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M2090-743 exam Dumps Source : IBM Big Data and Analytics Sales Mastery v2

Test Code : M2090-743
Test Name : IBM Big Data and Analytics Sales Mastery v2
Vendor Name : IBM
Q&A : 20 Real Questions

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IBM and VMware improve Partnership to speed up commercial enterprise Hybrid Cloud Adoption and Digital Transformation | killexams.com Real Questions and Pass4sure dumps

greater than 1,700 world businesses, including Banca Carige and CNH Industrial adopt IBM Cloud and functions for VMware solutions

BARCELONA, Spain, Nov. 06, 2018 (GLOBE NEWSWIRE) -- today at VMworld® Europe 2018, IBM (NYSE: IBM) and VMware, Inc. (VMW) announced new choices to assist accelerate commercial enterprise hybrid cloud adoption. This contains a brand new IBM services offering to assist migrate and prolong mission-vital VMware workloads to the IBM Cloud, and new integrations to help firms to modernize applications with Kubernetes and containers.

to this point, the IBM and VMware partnership has helped greater than 1,seven hundred companies together with Banca Carige and CNH Industrial undertake IBM Cloud for VMware solutions.

in line with research from Ovum, whereas 20 percent of enterprise techniques have already moved to the cloud, 80 % of mission-critical workloads and sensitive records are nonetheless running on-premises as a result of performance and regulatory necessities [1]. businesses need an open, hybrid cloud strategy to constructing, running and deploying purposes in a multi-cloud ambiance. IBM and VMware are offering new solutions to aid firms accelerate hybrid cloud adoption without incurring the charge and risk usually associated with retooling operations, re-architecting purposes and re-designing security guidelines.

As part of nowadays’s information, IBM is enabling a completely automated, tremendously obtainable managed world cloud structure for mission-important VMware workloads designed to help businesses steer clear of downtime for cloud purposes and automate failovers within an IBM Cloud location. This architecture will be managed by way of IBM capabilities and may be deployed throughout IBM Cloud’s 18 availability zones within the U.S., Europe and Asia-Pacific.

Mission-vital workloads are defined as standard to the survival of the enterprise and so important that outages affect manufacturer integrity. The IBM answer is designed to support these workloads at a focused aggregate availability better than many purchasers can at the moment obtain with on-premises environments. The solution contains IBM Cloud infrastructure, VMware utility-defined facts center applied sciences, Intel® Optane™ DC SSD and IBM features that cowl numerous business wants including networks, storage, resiliency and other tools constructed for monitoring and troubleshooting cloud applications.

moreover, IBM and VMware introduced new know-how collaborations to support organisations to modernize purposes with containers regardless of even if they're deploying on-premises, in the inner most cloud or in the public cloud. 

IBM Cloud private Hosted can now be installed on VMware vCenter Server on IBM Cloud, which supports the administration and orchestration of virtual machines and containers within a common protection mannequin and private network. With IBM Cloud deepest Hosted on VMware vCenter Server, clients can containerize stateless add-ons of a virtualized utility while conserving stateful add-ons similar to databases inside the digital laptop. It additionally allows purchasers to modernize applications with the IBM Cloud deepest catalogue of features together with Blockchain, AI and experience services, amongst many others.

apart from IBM Cloud inner most Hosted, IBM Cloud for VMware options are actually built-in with the IBM Cloud Kubernetes carrier, which provides a completely managed Kubernetes environment so clients can be aware of application building.

To give a unified networking solution with a view to bridge IBM Cloud inner most and the IBM Cloud Kubernetes provider, IBM is expanding use of virtual cloud networking with the adoption of VMware NSX-T facts center. as the basis for a utility-based mostly community structure that can provide features to functions and statistics anywhere they can be found, NSX-T offers consistent networking and safety for all deployment models, including VM, containerized and bare metallic. NSX-T has been validated by way of IBM as a supported network stack for IBM Cloud deepest.

To guide on-premises workloads, VMware vRealize Operations is now available on IBM power techniques. With VMware vRealize Operations for vigour, IT managers can display screen a heterogenous infrastructure from a single dashboard, allowing them to greater effectively allocate elements and free them from the time-ingesting process of switching between varied equipment to manage a sprawling infrastructure.

Story Continues

IBM and VMware also announced that VMware will use Watson to support enhance customer service across VMware assist portals. as a substitute of static drop downs, now VMware purchasers can leverage Watson to directly and simply communicate with the portal in herbal language. Watson is designed to observe product class and edition, analyze issues and match those considerations with an expert engineer for quicker decision and a much better client assist experience.

IBM and VMware continue to be committed to supplying new solutions and functions to assist companies increase their cloud adventure. today at VMworld Europe, VMware CEO Pat Gelsinger, and Arvind Krishna, Senior vice chairman, Hybrid Cloud, announced on stage the formation of a Joint Innovation Lab with dedicated engineers so that it will convey much more video game altering solutions and functions.

“The VMware and IBM partnership builds upon the strengths of both groups. VMware is relied upon via well-nigh every huge business these days, including one hundred percent of the Fortune a hundred. today these groups can without difficulty and securely prolong these workloads into IBM’s international public cloud using Hybrid Cloud Extension for large-scale bulk migration and bi-directional software mobility,” spoke of Pat Gelsinger, chief govt officer, VMware. “Now with the newest advancements in our relationship, we’re making it viable for valued clientele to movement, modernize and operate any software – VM or containerized, normal or mission-vital – within the IBM Cloud.”

“today’s announcement is a testament to our a success and long-standing partnership with VMware that has yielded awesome enterprise effects for hundreds of shoppers globally on their path to digital transformation,” pointed out Martin Jetter, senior vice president, global expertise functions, IBM. “With these new services and options, corporations can migrate and modernize their most important VMware workloads on the IBM Cloud in a highly relaxed, open, multi-cloud environment. Our goal is to support consumers in the reduction of risk and forestall any disruptions in a cloud environment with a view to remain laser concentrated on innovation.”

international businesses Adopting IBM Cloud for VMware options for Hybrid Cloud StrategyAdoption of IBM Cloud for VMware options continues to develop as corporations embrace hybrid cloud thoughts to support them generate new business value from their data.

CNH Industrial, a frontrunner in the capital items sector working within the agricultural and construction gadget, commercial cars, forte automobiles and powertrain segments, has signed a multi-year cloud agreement with IBM. As a part of its cloud method, CNH Industrial will prolong VMware workloads from on-premises infrastructure to the IBM Cloud to provide enhanced flexibility, can charge efficiencies, output resilience and consistency in conducting its operations to deliver most efficient in type customer provider. throughout the cloud agreement, CNH Industrial will additionally use IBM Cloud deepest and Watson artificial Intelligence to transform its enterprise methods.

Banca Carige, one of the vital main Italian banking companies with greater than 500 years of culture, 519 branches and over 1 million valued clientele, is adopting a hybrid cloud approach to simplify its IT ambiance and optimize its purposes because it evolves right into a digital financial institution. Banca Carige will use IBM Cloud for VMware solutions across public and personal cloud environments to enable the adoption of massive facts methodologies, analytics and cognitive tools, with the purpose of improving business competitiveness.

For counsel on all news announcements issued at VMworld 2018 Europe, please visit the online Press equipment.

extra ResourcesRead a perspective on present day VMworld 2018 Europe information from Joe Baguley, vice president & Chief expertise Officer, EMEA at VMware: “VMworld 2018 Europe – Enabling a greater Digital, linked business”

About IBM CloudWith $19B in annual cloud revenue, IBM is the world chief in commercial enterprise cloud with a platform designed to fulfill the evolving wants of enterprise and society. moving past productiveness and value improvements, the IBM Cloud is tuned for the AI and statistics demands which are driving genuine differentiation in modern commercial enterprise. IBM's inner most, public and hybrid choices supply the international scale businesses should aid innovation throughout industries.

About VMwareVMware application powers the area’s complicated digital infrastructure. The enterprise’s compute, cloud, mobility, networking and protection offerings give a dynamic and efficient digital basis to over 500,000 valued clientele globally, aided by means of an ecosystem of 75,000 partners. Headquartered in Palo Alto, California, this year VMware celebrates twenty years of step forward innovation benefiting enterprise and society. For more tips, please consult with https://www.vmware.com/business.html.

VMware, VMworld, vCenter, vCenter Server, NSX-T, NSX-T statistics middle, vRealize, and vRealize Operations are registered emblems or trademarks of VMware, Inc. or its subsidiaries within the united states and different jurisdictions.

this text may comprise hyperlinks to non-VMware web sites which are created and maintained by third events who're fully responsible for the content on such websites.

[1] Roy Illsley: exotic Analyst, Infrastructure options Quoting figures from the 2018-19 iteration of Ovum’s annual ICT business Insights Survey of more than 6000 enterprises globally.https://ovum.informa.com/items-and-features/facts-capabilities/ict-business-insights

Media ContactsKen LotichVMware global Communications916-740-4335klotich@vmware.com

Kaveri CamireVice President, IBM Communications914-625-6395kcamire@us.ibm.com

Sarah MurphyIBM Media Relations336-337-7584srmurphy@us.ibm.com


large records LDN: a hundred vendors, Attendees gear Up | killexams.com Real Questions and Pass4sure dumps

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Fourth Industrial Revolution file can be unveiled for the primary time solely to attendees

Over one hundred companies, from Google to IBM, along with ratings of startups are gearing up for the annual huge statistics LDN convention, which kicks off Tuesday November 13.

The conference comes as a document by means of Unravel statistics discovered that seventy four percent of agencies expect their large records stack to power professional, advantageous, and profitable enterprise applications by way of the conclusion of 2019, but handiest 12 per cent are seeing this cost at latest.

“Most establishments have high hopes for what big records purposes can do for them – and rightly so,” noted Kunal Agarwal, CEO, Unravel statistics.

big data ldn

“however professional efficiency continues to be a way off, which might lengthen the benefits corporations starvation after. The problem now's to make certain the massive data stack performs reliably and efficaciously, so the next generation of applications, throughout analytics, AI and computer discovering, can carry on these aspirations.

“most effective then may we see establishments flip their frame of mind from considering of large information as gasoline for protecting actions, like cybersecurity and compliance, to seeing it as a catalyst for company increase.”

audio system… 

audio system from companies together with the NHS, BT, Vodafone, HMRC, Sky, GE Digital, Oracle, Coca-Cola, O2, Nvidia ING bank, Thames Water, Camden Council and WPP are all becoming a member of the annual experience at Olympia London.

pursuits… 

Alan Mak MP, one of the vital architects of the uk’s publish-Brexit data economic climate, and Chair of the Parliamentary Committee for the Fourth Industrial Revolution will provide the keynote speech on the uk executive’s future big facts approach in the statistics-pushed Theatre at 10:30 am, on Tuesday 12th November.

Lewis Hamilton’s Mercedes AMG Petronas F1 group might be offering a automobile in a data-enabled pit lane.

The extraordinary facts Debate, that includes MIT Professor Dr. Michael Stonebraker, senior executives from IBM, Microsoft and Cloudera in addition to BT Chief information Architect Phillip Radley, will seem into the way forward for data administration and computing device intelligence.

This year’s Fourth Industrial Revolution record will be unveiled for the first time exclusively to attendees, packed with insights, forecasts and evaluation on the united kingdom’s location in nowadays’s artificial Intelligence-led economic system.

amongst those on the experience is Snowflake Computing customer, Atheon Analytics, which will be speaking about the way it is the use of a Snowflake information warehouse to deliver precise-time statistics insights to UK supermarket suppliers, assisting identify any provider issues, inventory replenishment wants and quantify the have an effect on on waste and earnings throughout the whole supply chain.

See the entire massive records LDN agenda here.


ADNOC hosts world trade and technology leaders to explore synthetic Intelligence to unencumber new cost from oil and fuel materials | killexams.com Real Questions and Pass4sure dumps

Abu Dhabi: The Abu Dhabi national Oil enterprise (ADNOC) hosted, today, senior oil, gas and know-how leaders at the inaugural ADNOC artificial Intelligence (AI) forum. The event became held at ADNOC’s HQ, in its state-of-the Panorama Digital Command middle, to talk about radical business shifts, the upward push of AI and how, at the same time, the industry can speed up AI development to free up new cost from oil and fuel components.

The skills have an effect on of AI on the long run direction and competitiveness of the oil and fuel trade may well be dramatic, radically changing the traditional practices and delivering new sources of value. according to the area economic forum, basic reductions generated from robotic purposes and massive records analytics could total $500 billion by using 2025.

His Excellency Dr. Sultan Ahmed Al Jaber, UAE Minister of State and ADNOC neighborhood CEO, mentioned: “Digital innovation is providing unparalleled levels of growth and prosperity across the world, as we enter a brand new age of chance and growth. ADNOC is embracing Oil and fuel four.0 and helping to drive the 4th Industrial Age, by using AI, huge data and Blockchain to boost our operational effectivity, maximize our efficiency, pressure our profitability and empower our americans.

“And as we proceed our transformation into a greater commercially minded, efficiency-driven company, it can be the rapidly evolving power of technologies, like AI, so that it will permit us to entry opportunities in no way before seen and make sure ADNOC no longer best flourishes within the new power landscape, however also leads.”

Held to coincide with the Abu Dhabi foreign Petroleum Exhibition and conference (ADIPEC), one of the crucial world’s main oil and fuel conferences and exhibitions, the forum concentrated on exploring the possibilities beyond the confines of ‘AI-today’ to imagine the highly unbelievable but now not in fact inconceivable developments of tomorrow, together with the capabilities, investments and horizons with a purpose to should be matured if the advantages are to be realized.

Abdulmunim Al Kindy, ADNOC Upstream Director and Chairman of ADNOC Digital Transformation, said: “If we are to thrive in the future, we deserve to not only embrace but champion and evolve applied sciences akin to AI and open our minds to believe the ‘what-ifs’ in 2030 and beyond. in this regard, these days’s inaugural experience verified ADNOC’s leadership and sent a message from industry leaders that we're pushing the boundaries of recent technologies and perspectives in our persisted pursuit of maximizing the price.”

The ADNOC AI forum turned into moderated through Tracy Countryman, global Managing Director and business X.0 Lead for Accenture’s components follow, who said: “nowadays’s adventure turned into a incredible coming-collectively of international innovation and expertise concept leaders in a truly unbelievable environment. We really stretched the boundaries of usual considering and a number of enjoyable views and paths were drawn, from which clear price become current.”

Sarah Karthigan, global AI government at ExxonMobil, talked about: “ADNOC has introduced together an influential pass section of technology and business leaders who are looking past AI-nowadays to how we catch the opportunities of the next day. It became a extremely insightful and collaborative working session. all of us agree we're nonetheless best scratching the floor of how technology, and other ways of thinking, can definitely unencumber our full expertise.

“Our plans for AI deserve to be bold, and if we are going to see price advent, we don't need to most effective include technological disruption, but also foster cultural trade. We should build corporations which have truly agile americans, without compromising the strongest standards and techniques the oil and gasoline business is favorite for.”

these attending the discussion board blanketed Abdul Nasser Al Mughairbi, SVP Digital, ADNOC; Abdulmunim Al Kindy, Upstream Director, ADNOC; Aidan Hancock, VP IT&S, BP; Alaa Elshimy, Director and vp for enterprise company neighborhood, Huawei; Binu Mathew, international SVP Digital, Baker Hughes GE; Fathiya Al Farsi, Chief tips & Digitalization Officer, PDO; Fida Khalil, Head of the MindSphere utility core, Siemens; Giacomo Silvestri, SVP Digital approach, Innovation & Demand administration, Eni; Dr. Han Dong, Chief technology Officer, CNPC; Håvard Devold, Digital Lead for ABB Oil, gasoline & Chemical, ABB; Jan Leitermann, Chief advice Officer, OMV; Jeremy McKeon, Head of Alliance & Partnerships, MAANA; Leo Simonovich, VP global Cyber approach, Siemens; Luq Niazi, international Managing Director, chemical compounds & Petroleum Industries, IBM; Markus Berghofer, VP Upstream assistance administration & enterprise initiatives, OMV; Omar Saleh, Director, energy, Manufacturing & materials, Microsoft; Dr. Pei Xiaohan, Head of ad know-how Hub, CNPC; Rob McGreevy, VP options, Aveva; Tracy Countryman, international Managing Director, Accenture; Vijay Doradla, Chief business Officer, SparkCognition ; Xavier Anglada, Digital Lead within the ME, North Africa and Turkey, Accenture; Wim Thomas, Chief power guide, international scenario group, Shell; Sarah Karthigan, international AI government, ExxonMobil; Peng Xiao,

CEO, community 42; Morten Jensen, Digital Innovation Director, Schlumberger; Khalil Abdulrazak, CEO, total ABK and Martin McCormack, technology supervisor, BP.

-Ends-

About ADNOC

ADNOC is a massive diversified neighborhood of energy and petrochemical groups that produces about 3 million barrels of oil and 10.5 billion cubic feet of raw fuel a day. Its integrated upstream, midstream and downstream actions are conducted by 14 professional subsidiary and joint venture companies. To find out extra discuss with www.adnoc.ae. For further information: media@adnoc.ae.

© Press liberate 2018

M2090-743 IBM Big Data and Analytics Sales Mastery v2

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M2090-743 exam Dumps Source : IBM Big Data and Analytics Sales Mastery v2

Test Code : M2090-743
Test Name : IBM Big Data and Analytics Sales Mastery v2
Vendor Name : IBM
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IBM Big Data and Analytics Sales Mastery v2

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IBM: 2 Important Verticals To Watch | killexams.com real questions and Pass4sure dumps

No result found, try new keyword!In 2012, the company made it clear it wants to focus on high value segments with fatter profit margins and earn 50% of sales from ... that deal with Big Data and are paranoid about data security. Runn...

Intel Advances Next Phase of Big Data Intelligence: Real Time Analytics | killexams.com real questions and Pass4sure dumps

SANTA CLARA, Calif.--(BUSINESS WIRE)--To help companies in a variety of industries from retail and healthcare to banking and transportation turn data into actionable insights, Intel Corporation today introduced the Intel® Xeon® processor E7 v2 family.

Using analytics enables businesses to make decisions that improve top-line and bottom-line results. The Intel Xeon processor E7 v2 family delivers new capabilities to process and analyze large, diverse amounts of data to unlock information that was previously inaccessible.

“Organizations that leverage data to accelerate business insights will have a tremendous edge in this economy,” said Diane Bryant, senior vice president and general manager of Intel’s Data Center Group. “The advanced performance, memory capacity and reliability of the Intel Xeon processor E7 v2 family enable IT organizations to deliver real-time analysis of large data sets to spot and capitalize on trends, create new services and deliver business efficiency.”

Big data and the Internet of Things (IoT) are providing enormous opportunities for many organizations to grow as they create revenue-generating services from the information they are able to derive. The big data technology and services market is expected to grow 27 percent annually through 2017 to reach $32.4 billion4. A leading driver of this growth is the immense amount of data coming from connected devices making up the IoT, which is projected to grow to 30 billion devices by 20205. Investments in the highest performing technologies and analysis solutions can also deliver significant cost savings. For example, Intel’s IT organization expects to achieve cost savings and increased bottom-line revenue of nearly half a billion dollars through use of analytics solutions by 2016.

New Big Data Processing and Analytics Capabilities with Relentless Reliability

The Intel Xeon processor E7 v2 family has triple the memory capacity of the previous generation processor family, allowing much faster and thorough data analysis. In-memory analytics places and analyzes an entire data set – such as an organization’s entire customer database – in the system memory rather than on traditional disk drives. This method is gaining in popularity due to the increased need for more complex analytics. Industry analyst firm Gartner expects 35 percent6 of mid- to large-sized companies will adopt in-memory analytics by 2015, up from 10 percent in 2012 and predicts at least 50 percent of Global 2000 companies will use in-memory computing to deliver significant additional benefits from investments in enterprise resource planning (ERP).

eBay, one of the world's largest and most complex online marketplaces, handles massive data sets of more than 50 petabytes (PB) for more than 100 million users. Based on initial testing of the new Intel Xeon processor E7 v2 and SAP’s HANA* in-memory analytics software, eBay has seen greater performance7 and understanding of larger data sets that will help drive additional revenue opportunities for its customers.

Built for up to 32-socket8 servers, with configurations supporting up to 15 processing cores and up to 1.5 terabytes (TB) of memory per socket, the new processor family achieves twice the average performance of the previous generation3. These enhancements help businesses that run mission critical applications including business support systems (BSS), customer relationship management (CRM), and ERP to operate more efficiently, at lower cost and with faster response times2. For example, a sales team with these capabilities can maximize revenue by pinpointing the best time to sell a product, or let an oil and gas company better predict when its platforms require preventative maintenance.

To reduce data bottlenecks, the Intel Xeon Processor E7 v2 family features Intel® Integrated I/O, Intel® Data Direct I/O and support for PCIe 3.0*, achieving up to four times the I/O bandwidth over the previous generation9 and providing extra capacity for storage and networking connections.

System uptime and reliability also remains a key requirement for mission critical applications. The Intel Xeon Processor E7 v2 family continues Intel’s tradition of delivering world-class reliability, availability and serviceability (RAS). Intel® Run Sure Technology10 is designed for “five nines” solutions essential for business-critical data by reducing the frequency and cost of planned and unplanned downtime.

Extensive Industry Support

Starting today, 21 system manufacturers from around the world will announce more than 40 Intel Xeon processor E7 v2 family-based platforms. These manufacturers include Asus*, Bull*, Cisco*, Dell*, EMC*, Fujitsu*, Hitachi*, HP*, Huawei*, IBM*, Inspur*, Lenovo*, NEC*, Oracle*, PowerLeader*, Quanta*, SGI*, Sugon*, Supermicro*, Unisys* and ZTE*. Numerous analytics software vendors also support Xeon processor E7 v2 family-based platforms, including Altibase*, IBM*, Microsoft*, Oracle*, Pivotal*, QlikView*, Red Hat*, SAP*, SAS*, Software AG*, Splunk*, Sungard*, Teradata*, TongTech*, Vertica* and YonYou*.

About Intel

Intel (NASDAQ: INTC) is a world leader in computing innovation. The company designs and builds the essential technologies that serve as the foundation for the world’s computing devices. Additional information about Intel is available at newsroom.intel.com and blogs.intel.com.

Intel, Intel logo and Intel Xeon are trademarks of Intel Corporation in the United States and other countries.

*Other names and brands may be claimed as the property of others.

Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products.

Results have been measured by Intel based on software, benchmark or other data of third parties and are provided for informational purposes only. Any difference in system hardware or software design or configuration may affect actual performance. Intel does not control or audit the design or implementation of third party data referenced in this document. Intel encourages all of its customers to visit the websites of the referenced third parties or other sources to confirm whether the referenced data is accurate and reflects performance of systems available for purchase.

The TCO or other cost reduction scenarios described in this document are intended to enable you to get a better understanding of how the purchase of a given Intel product, combined with a number of situation-specific variables, might affect your future cost and savings. Nothing in this document should be interpreted as either a promise of or contract for a given level of costs.

1. Intel Xeon processor E7 v2 family provides the largest memory footprint of 1.5 TB per socket vs 1TB per socket delivered by alternative architectures, based on published specs.

2. Up to 80% leadership performance on Xeon E7 v2 over IBM Power* 7+ at ~80% lower TCO claim based on Intel estimated SPECint*_rate_base2006 results and pricing of comparable 4-socket rack server using Intel® Xeon® processor E7-4890 v2 (37.5M Cache, 2.8 GHz, 15-Cores) to IBM POWER*750 using POWER7+ (80M Cache, 4.0 GHz, 8-Cores) as of December 2013.

3. Up to double the average generational performance based on results of six key industry-standard workloads: SPECint*_rate_base2006+, SPECfp*_rate_base2006+, brokerage on-line transaction processing (OLTP) database workload, warehouse supply chain OLTP database workload, STREAM memory bandwidth and LINPACK GFLOPS. Configurations: 4-socket server using Intel® Xeon® processor E7-4890 v2 (new processor) vs. E7-4870 (previous generation processor). Learn more about Xeon E7 v2 performance at http://www.intel.com/content/www/us/en/benchmarks/server/xeon-e7-summary.html

4. Source: IDC WW Big Data Technology and Services 2013-2017 Forecast, Doc #244979, Dec 2013

5. Source: IDC Market Analysis Perspective: Worldwide Enterprise Servers, 2013 — Technology Market, Doc #245080

6. Source: Gartner "Top Technology Trends, 2013: In-Memory Computing Aims at Mainstream Adoption"

7. eBay’s test systems configurations are not disclosed but the observed results are consistent with Intel’s internal measurements from November 2013 showing 2x performance increase when using SAP HANA based on these configurations:Baseline 1.0x: Intel E7505 Chipset using four Intel Xeon processors E7-4870 (4P/10C/20T, 2.4GHz) with 256GB DDR3-1066 memory scoring 110,061 queries per hour. Source: Intel Technical Report #1347.New Generation 2x: Intel C606J Chipset using four Intel Xeon processors E7-4890 v2 (4P/15C/30T, 2.8GHz) with 512GB DDR3-1333 (running 2:1 VMSE) memory scoring 218,406 queries per hour. Source: Intel Technical Report #1347.

8. Requires node controller (available from 3rd party sources).

9. Up to 4X I/O bandwidth claim is based on Intel estimates on an internal bandwidth tool running the 1R1W test of the Intel Xeon processor E7-4890 v2 performance normalized against the improvements over dual-IOH Intel Xeon processor E7-4870.

10. No computer system can provide absolute reliability, availability or serviceability. Requires an Intel® Xeon® processor E7-8800/4800/2800 v2 product families or Intel® Itanium® 9500 series-based system (or follow-on generations of either). Built-in reliability features available on select Intel® processors may require additional software, hardware, services and/or an internet connection. Results may vary depending upon configuration. Consult your system manufacturer for more details.


The problem with analytics | killexams.com real questions and Pass4sure dumps

IBM-Bigdata-Analytics

There is a difference between knowledge and understanding. Knowledge typically comes down to knowing facts while understanding is the application of knowledge to the mastery of systems. You can know a lot while understanding very little. Just as an example, IBM’s Watson artificial intelligence system that defeated the TV Jeopardy champs a few years ago knew all there was to know about Jeopardy questions but didn’t really understand anything. Ask Watson to apply to removing your appendix its knowledge of hundreds of medical questions and you’d be disappointed and probably dead. That’s the problem with most analytics, which is why it can be a hard sell.

The answer to this problem, we’re told, is not just machine learning but Deep Machine Learning, the difference between the two being that plain old machine learning is a statistical process that could be (and used to be) replicated by hand, while the deeper variety looks several generations deep in a longitudinal analysis that quickly grows too big for mere mortals to comprehend. Deep machine learning will, theoretically, find all the interconnections and dependencies that until now we’ve had to rely on domain experts to provide, yet even then it can only happen if you happen to be gathering the right data.

With regular machine learning, when IBM talks about Watson looking inside your business and finding answers, well that can only really happen if a few PhDs are attached to the software. But with deep machine learning the idea is that the machine can do it all. No PhDs required, which would be quite a breakthrough. And so all the big companies fighting over the future of IT are building new circuits -- hardware -- for deep machine learning. Google and IBM have made recent announcements about theirs. Microsoft told me a couple weeks ago that they have similar hardware working in their lab. It’s a space race.

And it’s also at least five years from being real on any commercial scale.

Until deep machine learning is common and fast we’ll be stuck with more mundane analytics. So no, Watson isn’t going to be crunching your company numbers soon and spitting out the right answers or even the right questions to ask. We’re simply not there yet.

Which brings us to a curious thing happening at IBM. Not closing the I.M. Pei-designed lab in Somers, New York that was announced last week. That campus has been half-empty for years. Nor am I talking about the continuation of IBM’s brutal GTS layoffs, which reportedly killed another 14,000+ IBM jobs last week. What I am talking about here is the reorganization of IBM’s analytics business unit that was announced internally two weeks ago. You won’t find a news story about it… until now.

The analytics reorg labelled "One Team, One Platform" wasn’t technically a Resource Action (forced layoff). It was explained as a streamlining of business processes to improve efficiency. Citing similar moves at Google, IBM’s analytics group would no longer have employees working from home and the number of official analytics office locations worldwide would decrease from 200 to 30. People will soon be working and meeting physically together, some of them for the first time. This is good, right?

Yet the reorg is wildly unpopular within the ranks for one important reason: If for some reason affected IBMers need to keep working from home or they can’t or won’t move to their designated IBM office location, well then they are deciding to quit in the view of IBM, which means they are out of the company with no severance -- no package.

Analytics general manager Rob Thomas, who announced the reorg, has been uniformly described to me by IBMers from that division as "an idiot", which may be some internal IBM technical term, I don’t know.

The reorg, which tellingly requires some orthodox Jewish IBMers working in Israel to reverse history and relocate to either Germany or Poland, will inevitably result in a significant reduction in head count yet not have to be accounted for as one. These are stealth layoffs.

Remember that the future of IBM is supposed to be all about CAMSS (cloud, analytics, mobile, security, social) and analytics is the A in CAMSS. In one moment IBM says analytics is strategic, that they are investing and hiring in the area, yet at the same time the company is taking actions that will inevitably lead to the loss of at least some employees who are vital to the unit.

It’s the blindness of this reorg that amazes me. Heads will go no matter what, but in this case the specific heads won’t be decided by the company but by the workers, themselves. The best workers will be the most employable and therefore the quickest to go. If analytics is so strategic how can IBM allow that to happen?

I believe I know what’s happening here. Years of layoffs and unfilled positions at IBM mean that pretty much everyone remaining who isn’t in management is already very good at their jobs. There is no more fat to cut. So why not leave it up to the employees, themselves, especially if the gambit will result in very low separation expenses?

It is unlikely that any of the IBMers who are lost in this reorg will be replaced. Rather, as has become the norm at IBM in recent years, those who are left will be expected to pick up the slack.

Yes, but what about CAMSS? What about analytics being so strategic to the future of IBM?

In order to understand that we have to also understand who is IBM’s customer. Peter Drucker wrote that the purpose of the corporation is "to find a customer". Well who is IBM’s customer if the company is effectively cutting one of the divisions it is relying upon for future growth?

IBM’s customer is Wall Street.

IBM’s products are earnings-per-share, dividends, and share buy-backs, not hardware, software or computer services.

This morning I took a quick look at IBM‘s 1Q16 statement. It was interesting what was stated, how it was stated, and what was not stated. They signed $4.2 billion in Analytics and $2.6 billion in Cloud business. The rest of CAMSS was puny. If Analytics is doing better than the rest, why mess with it? How many billions have they spent to make $11 billion a year on cloud?

IBM has mostly reported revenue. Part of the company’s sales culture, it is what you sign in deals that matters. But how much profit is each division making? That is how most companies are managed. IBM‘s big money maker is services and that is losing business. IBM wants to keep Wall Street off the scent and keeping reported earnings up is critical. So they’re cutting deep with no severance. This is all about buying time until the new business gains traction. However if the new business doesn’t make as much profit, that is going to be a big problem.

This is a very scary gamble for IBM.

What this analytics reorg means is that IBM can’t see a way to reach its near-term Wall Street product objectives without cutting heads in analytics. The division was built up in anticipation of certain sales and profit targets, those targets have not been reached, so IBM will cut expenses until the numbers look right. Forget that this reorg will actually result in less -- not more -- work being done. Forget that it makes even less likely IBM achieving its goals for analytics. Forget all of that.

What it means is the A in CAMSS has already failed. That’s my understanding.



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