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C2090-102 - IBM Big Data Architect - Dump Information

Vendor : IBM
Exam Code : C2090-102
Exam Name : IBM Big Data Architect
Questions and Answers : 110 Q & A
Updated On : October 22, 2018
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C2090-102 Questions and Answers

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C2090-102 IBM Big Data Architect

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C2090-102 exam Dumps Source : IBM Big Data Architect

Test Code : C2090-102
Test Name : IBM Big Data Architect
Vendor Name : IBM
Q&A : 110 Real Questions

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IBM IBM Big Data Architect

Hortonworks, IBM, pink Hat Collaborate to support speed up Containerized large statistics Workloads for Hybrid Architectures | killexams.com Real Questions and Pass4sure dumps

long island, Sept. 10, 2018 /PRNewswire/ -- Strata facts conference - Hortonworks (NASDAQ: HDP), IBM (NYSE: IBM) and RedHat (NYSE: RHT) these days announced an Open Hybrid structure Initiative, a new collaborative effort the organizations can use to construct a standard commercial enterprise deployment model that is designed to allow massive facts workloads to run in a hybrid manner throughout on-premises, multi-cloud and edge architectures.

as the preliminary section of the initiative, the companies plan to work together to optimize Hortonworks statistics Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud deepest for statistics for use on RedHat OpenShift, an industry-leading business container and Kubernetes application platform. this can permit clients to boost and set up containerized huge statistics workloads, eventually making it more straightforward for purchasers to manage statistics purposes throughout hybrid cloud deployments. moreover, IBM and Hortonworks will extend their joint work to combine key functions provided via Hortonworks DataPlane with IBM Cloud private for statistics.

organisations are present process big company model transformations, powered by way of the means to manner and analyze new kinds and significant quantities of statistics. because of this, many are moving to hybrid cloud environments that leverage lightweight microservices in the highest quality manner feasible.

Hortonworks and IBM previously introduced a collaboration to aid agencies accelerate statistics-pushed choice-making. cutting-edge news builds upon that groundwork with the intent to bring massive information workloads to a contemporary and container-primarily based groundwork, enabling purchasers to set up Hortonworks and IBM platforms into a hybrid cloud atmosphere powered through crimson Hat OpenShift. The initiative comprises the following:

  • Hortonworks plans to certify Hortonworks records Platform, Hortonworks DataFlow and Hortonworks DataPlane as crimson Hat certified Containers on crimson Hat OpenShift and looks forward to attaining "Primed" designation. moreover, Hortonworks will enhance HDP to undertake a cloud-native architecture for on-premises deployments with the aid of keeping apart compute and storage and containerizing all Hortonworks information Platform and Hortonworks DataFlow workloads. This enables purchasers to extra comfortably adopt a hybrid architecture for large statistics functions and analytics, all with the standard and depended on security aspects, facts governance and operations that organisations require.
  • IBM, which announced plans past this 12 months to extend IBM Cloud private platform and middleware to the OpenShift platform, has begun the red Hat OpenShift certification manner for IBM Cloud inner most for statistics, and has performed "Primed" designation because the first phase. The flow will assist give the substantial OpenShift neighborhood of developers and clients – which encompass IBM and Hortonworks purchasers – fast entry to potent analytics, information science, computer gaining knowledge of, statistics administration and governance capabilities, completely supported across hybrid clouds.
  • "Kubernetes is the de facto container orchestration equipment and we have been working in this ecosystem on the grounds that the task's infancy to help make it ready for all, and especially the enterprise in red Hat OpenShift. today we are thrilled that Hortonworks and IBM Cloud private's data portfolio have chosen red Hat OpenShift because the trusted Kubernetes platform for large facts workloads," noted Ashesh Badani, vice president and generic supervisor, Cloud structures, red Hat. "by way of constructing and managing their applications by means of containers and Kubernetes with OpenShift, purchasers and the big records ecosystem have alternatives to carry this subsequent generation of large statistics workloads to the hybrid cloud and bring the merits of an agile, efficient, respectable, multi-cloud infrastructure."

    "The work that crimson Hat, IBM and Hortonworks are doing to modernize commercial enterprise huge facts workloads by means of containerization is aimed at assisting purchasers to take advantage of the agility, economics and scale of a hybrid records structure," said Rob Bearden, chief government officer of Hortonworks. "The innovations as a consequence of this collaboration can permit the seamless and depended on hybrid deployment model mandatory today by using organisations that are undergoing massive company mannequin transformation."

    moreover aggressive and statistics challenges, corporations are additionally scrambling to deliver functions once designed for public cloud behind the firewall for improved control, reduce expenses, stronger security and less difficult management. truly, in a recent IDC Cloud and AI Adoption Survey[1], more than 80 % of respondents mentioned they plan to circulation or repatriate information and workloads from public cloud environments at the back of the firewall to hosted inner most clouds or on-premises places over the next year, because the initial expectations of a single public cloud issuer had been no longer realized.

    "As these dynamics continue, they will work to sluggish innovation and preclude groups' development to business AI," talked about Rob Thomas, conventional supervisor, IBM Analytics. "Scaling the ladder to AI calls for powerful records prep, analytics, records science and governance, all of which might be with ease scaled and streamlined in the sort of containerized, Kubernetes-orchestrated environments that we're speaking about today."

    About Hortonworks Hortonworks is a leading provider of commercial enterprise-grade, world records management structures, functions and solutions that bring actionable intelligence from any class of records for over half of the Fortune 100.  Hortonworks is dedicated to riding innovation in open source communities, providing unique price to business customers. together with its partners, Hortonworks gives technology, abilities and help in order that commercial enterprise valued clientele can undertake a contemporary information architecture.

    Hortonworks and HDP are registered trademarks or logos of Hortonworks, Inc. and its subsidiaries in the united states and other jurisdictions. All other emblems are the property of their respective house owners. For extra suggestions, please consult with www.hortonworks.com.

    Hortonworks' forward-searching Statements This press unencumber might also contain "ahead-looking statements" inside the that means of area 27A of the Securities Act of 1933, as amended, and area 21E of the Securities change Act of 1934, as amended.

    ahead-looking statements provide latest expectations of future events in accordance with definite assumptions and encompass any commentary that doesn't without delay relate to any old or latest truth.  They may encompass (devoid of quandary) counsel regarding our expectations, goals or intentions involving our offerings, technology, partnerships, actions, future performance, our adoption of or involvement with others' offerings, and others' adoption of or involvement with our offerings.  ahead-looking statements are field to primary and unknown dangers and uncertainties and are in keeping with potentially inaccurate assumptions that might trigger actual consequences to vary materially from those expected or implied by using the ahead-looking statements. If one of these dangers or uncertainties materialize or if any of the assumptions show incorrect, our effects could vary materially from the outcomes expressed or implied by way of the forward-looking statements we make. guidance on components that might affect our fiscal outcomes and the ahead-looking statements during this press free up are protected in our kind 10-okay filed on March 15, 2018, our Quarterly file on kind 10-Q for the quarter ended June 30, 2018 filed on August 9, 2018, or in different filings we make with the Securities alternate fee sometimes, above all under the caption chance elements. All ahead-looking statements during this press liberate are made as of the date hereof, in response to guidance available to us as of the date hereof, and we undertake no duty, and don't intend, to replace these forward-looking statements. 

    About IBM  For extra about IBM Analytics consult with www.ibm.com/analytics.

    About purple Hat, Inc. red Hat is the world's leading provider of open source software options, the use of a neighborhood-powered strategy to deliver legit and high-performing cloud, Linux, middleware, storage and virtualization technologies. pink Hat additionally offers award-winning help, training, and consulting features. As a connective hub in a global community of businesses, partners, and open supply communities, purple Hat helps create critical, creative applied sciences that liberate supplies for increase and put together valued clientele for the way forward for IT. learn more at http://www.redhat.com.

    purple Hat's ahead-looking Statements certain statements contained during this press free up may additionally constitute "ahead-searching statements" within the that means of the inner most Securities Litigation Reform Act of 1995. forward-looking statements provide present expectations of future pursuits in accordance with definite assumptions and include any commentary that doesn't without delay relate to any old or current truth. precise outcomes can also differ materially from those indicated via such ahead-looking statements as a result of a variety of critical components, including: dangers regarding the potential of red Hat to compete with no trouble; the capability to bring and stimulate demand for brand new items and technological innovations on a timely foundation; delays or mark downs in counsel know-how spending; the integration of acquisitions and the potential to market efficiently acquired technologies and products; dangers related to blunders or defects in red Hat offerings and third-celebration products upon which purple Hat offerings rely; hazards concerning the protection of crimson Hat choices and other information protection vulnerabilities; fluctuations in trade costs; the outcomes of industry consolidation; uncertainty and adverse consequences in litigation and connected settlements; the lack of ability to thoroughly give protection to red Hat highbrow property and the expertise for infringement or breach of license claims of or relating to third birthday party highbrow property; adjustments in and a dependence on key personnel; the capacity to satisfy monetary and operational challenges encountered in our foreign operations; and ineffective administration of, and control over, pink Hat's boom and overseas operations, in addition to other factors contained in pink Hat's most fresh Quarterly document on kind 10-Q (copies of which may be accessed throughout the Securities and exchange fee's web page at http://www.sec.gov), together with those discovered therein under the captions "risk factors" and "administration's discussion and evaluation of economic circumstance and consequences of Operations". moreover these components, genuine future efficiency, results, and consequences might also fluctuate materially because of extra accepted components including (with out problem) popular industry and market circumstances and boom rates, economic and political circumstances, governmental and public policy adjustments and the have an impact on of natural disasters comparable to earthquakes and floods. The forward-searching statements blanketed in this press unlock characterize red Hat's views as of the date of this press unencumber and these views could exchange. youngsters, whereas crimson Hat may decide on to update these forward-looking statements at some aspect sooner or later, purple Hat chiefly disclaims any duty to achieve this. These ahead-searching statements may still not be relied upon as representing purple Hat's views as of any date subsequent to the date of this press liberate.

    purple Hat and OpenShift are trademarks or registered logos of pink Hat, Inc. or its subsidiaries within the U.S. and other countries.

    Media contact:

    Michelle Lazzar, Hortonworkscomms@hortonworks.com (408) 884-9861

    [1] IDC, Cloud Repatriation accelerates in a Multicloud World, doc #US44185818, August 2018

    source Hortonworks, Inc.

    related links

    http://www.hortonworks.com


    DESY and IBM strengthen massive facts architecture for science | killexams.com Real Questions and Pass4sure dumps

    X-ray scan of organic cells. credit: Britta Weinhausen/college of Göttingen

    IBM nowadays announced it's collaborating with Deutsches Elektronen-Synchrotron (DESY), a number one countrywide analysis core in Germany, to speed up management and storage of large volumes of x-ray statistics. The deliberate huge information and Analytics architecture in accordance with IBM software described know-how can address greater than 20 gigabyte per 2d of facts at top efficiency and help scientists worldwide benefit sooner insights into the atomic structure of novel semiconductors, catalysts, biological cells and other samples.

    DESY's 1.7 mile-lengthy PETRA III accelerator is an excellent microscope that hurries up electrically charged particles nearly to the speed of mild – about 186,000 miles per 2nd – and sends them via a decent magnetic slalom route to generate essentially the most awesome x-ray radiation of its form. This synchrotron radiation is used via greater than 2,000 scientists each and every yr to assess the inner constitution of a whole lot of materials with atomic decision. A key problem in this technique is storing and dealing with massive volumes of X-ray records. .

    "a regular detector generates an information stream of about 5 Gigabit per 2d, which is about the facts quantity of 1 comprehensive CD-ROM per second," pointed out Dr. Volker Gülzow, head of DESY IT. "And at PETRA III we wouldn't have just one detector, however 14 beamlines fitted with many detectors, and they are at the moment being prolonged to 24. All this big statistics must be stored and handled reliably."

    IBM utility described Storage know-how code identify Elastic Storage allows DESY to employ to store and handle the big statistics flowing from PETRA III every 2d. credit score: DESY

    DESY is addressing this large statistics problem with the help of IBM analysis and IBM application defined Storage expertise code identify Elastic Storage that can scale quite simply to store and deal with more than 20 Gigabyte of records flowing every second from PETRA III. Elastic Storage can provide scientists with excessive-pace entry to expanding volumes of research statistics. This structure will permit DESY to improve an open ecosystem for research and offer analysis-as-a-carrier and cloud solutions to its users worldwide.

    "IBM's utility described storage technologies can give DESY the scalability, speed and agility it requires to morph into a real-time analytics provider issuer." referred to Jamie Thomas, general manager Storage and application described methods, IBM. "IBM can take the experience won at DESY and transfer it to other fields of facts intensive science similar to astronomy, local weather analysis and geophysics and design storage architectures for the analysis of information generated by way of distributed detectors and sensors."

    The scalability of the equipment can assist DESY and a couple of international companions which are at the moment constructing the X-ray laser European XFEL, a analysis easy source so as to generate even more data. "We are expecting about one hundred Petabyte per year from the eu XFEL," noted Dr. Gülzow. it's comparable to the each year records extent produced on the world's largest particle accelerator, the large Hadron Collider (LHC) on the analysis center CERN in Geneva.

    DESY is likely one of the world's leading accelerator centers and a member of the Helmholtz affiliation. It develops, builds and operates enormous particle accelerators used to examine the constitution of be counted. DESY is housed in Hamburg and Zeuthen in Germany and is home to 3000 scientists from over forty nations a year.

    discover further: photo voltaic mobile degradation accompanied directly for the first time


    IBM info formal JEDI protest a day before bidding process closes | killexams.com Real Questions and Pass4sure dumps

    IBM introduced the day prior to this that it has filed a formal protest with the U.S. government Accountability workplace over the constitution of the Pentagon’s winner-take-all $10 billion, 10-yr JEDI cloud contract. The protest came just a day before the bidding process is scheduled to close. As IBM put it in a blog post, they took concerns with the one vendor strategy. they are by no means on my own.

    pretty much each dealer in need of Amazon, which has remained on the whole quiet, has been complaining about this method. IBM certainly faces a tricky fight going up against Amazon and Microsoft.

    IBM doesn’t disguise the indisputable fact that it thinks the contract has been written for Amazon to win and they agree with the one-supplier method conveniently doesn’t make experience. “No company on this planet would build a cloud the style JEDI would and then lock in to it for a decade. JEDI turns its back on the preferences of Congress and the administration, is a nasty use of taxpayer bucks and changed into written with just one business in intellect.” IBM wrote in the blog put up explaining why it was protesting the deal before a choice became made or the bidding was even closed.

    For the checklist, DOD spokesperson Heather Babb instructed TechCrunch remaining month that the bidding is open and no dealer is favored. “The JEDI Cloud remaining RFP displays the wonderful and critical wants of DOD, using the optimal practices of aggressive pricing and safety. No companies have been pre-selected,” she mentioned.

    a lot like Oracle, which filed a protest of its personal lower back in August, IBM is a standard seller that become late to the cloud. It started a experience to construct a cloud company in 2013 when it bought Infrastructure as a service seller SoftLayer and has been the use of its checkbook to purchase utility functions to add on true of SoftLayer ever considering. IBM has focused on constructing cloud capabilities round AI, protection, huge statistics, blockchain and different emerging applied sciences.

    each IBM and Oracle have a problem with the one-seller method, especially one which locks within the govt for a 10-12 months duration. It’s price declaring that the contract definitely is an preliminary two-12 months deal with two extra three 12 months options and a remaining two yr option. The DOD has left open the possibility this may now not go the complete 10 years.

    It’s also value placing the contract in perspective. whereas 10 years and $10 billion is nothing to sneeze at, neither is it as market altering as it might appear, not when some are predicting the cloud might be $100 billion a 12 months market very quickly.

    IBM uses the blog put up as a kind of income pitch as to why it’s a good selection, whereas on the equal time pointing out the flaws within the single vendor method and complaining that it’s geared toward a single unnamed dealer that all of us comprehend is Amazon.

    The bidding technique closes today, and until something adjustments because of these protests, the winner may be chosen subsequent April


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    Hortonworks, IBM, Red Hat Collaborate to Help Accelerate Containerized Big Data Workloads for Hybrid Architectures | killexams.com real questions and Pass4sure dumps

    NEW YORK, Sept. 10, 2018 /PRNewswire/ -- Strata Data Conference - Hortonworks (NASDAQ: HDP), IBM (NYSE: IBM) and RedHat (NYSE: RHT) today announced an Open Hybrid Architecture Initiative, a new collaborative effort the companies can use to build a common enterprise deployment model that is designed to enable big data workloads to run in a hybrid manner across on-premises, multi-cloud and edge architectures.

    As the initial phase of the initiative, the companies plan to work together to optimize Hortonworks Data Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud Private for Data for use on RedHat OpenShift, an industry-leading enterprise container and Kubernetes application platform. This can enable users to develop and deploy containerized big data workloads, ultimately making it easier for customers to manage data applications across hybrid cloud deployments. In addition, IBM and Hortonworks will extend their joint work to integrate key services offered through Hortonworks DataPlane with IBM Cloud Private for Data.

    Enterprises are undergoing massive business model transformations, powered by the ability to process and analyze new types and tremendous amounts of data. As a result, many are moving to hybrid cloud environments that leverage lightweight microservices in the most efficient manner possible.

    Hortonworks and IBM previously announced a collaboration to help businesses accelerate data-driven decision-making. Today's news builds upon that foundation with the intent to bring big data workloads to a modern and container-based foundation, enabling customers to deploy Hortonworks and IBM platforms into a hybrid cloud environment powered by Red Hat OpenShift. The initiative includes the following:

  • Hortonworks plans to certify Hortonworks Data Platform, Hortonworks DataFlow and Hortonworks DataPlane as Red Hat Certified Containers on Red Hat OpenShift and looks forward to achieving "Primed" designation. In addition, Hortonworks will enhance HDP to adopt a cloud-native architecture for on-premises deployments by separating compute and storage and containerizing all Hortonworks Data Platform and Hortonworks DataFlow workloads. This allows customers to more easily adopt a hybrid architecture for big data applications and analytics, all with the common and trusted security features, data governance and operations that enterprises require.
  • IBM, which announced plans earlier this year to extend IBM Cloud Private platform and middleware to the OpenShift platform, has begun the Red Hat OpenShift certification process for IBM Cloud Private for Data, and has achieved "Primed" designation as the first phase. The move will help provide the vast OpenShift community of developers and users – which include IBM and Hortonworks clients – fast access to robust analytics, data science, machine learning, data management and governance capabilities, fully supported across hybrid clouds.
  • "Kubernetes is the de facto container orchestration system and we have been working in this ecosystem since the project's infancy to help make it ready for all, and especially the enterprise in Red Hat OpenShift. Today we are thrilled that Hortonworks and IBM Cloud Private's data portfolio have selected Red Hat OpenShift as the trusted Kubernetes platform for big data workloads," said Ashesh Badani, vice president and general manager, Cloud Platforms, Red Hat. "By building and managing their applications via containers and Kubernetes with OpenShift, customers and the big data ecosystem have opportunities to bring this next generation of big data workloads to the hybrid cloud and deliver the benefits of an agile, efficient, reliable, multi-cloud infrastructure."

    "The work that Red Hat, IBM and Hortonworks are doing to modernize enterprise big data workloads via containerization is aimed at helping customers to take advantage of the agility, economics and scale of a hybrid data architecture," said Rob Bearden, chief executive officer of Hortonworks. "The innovations resulting from this collaboration can enable the seamless and trusted hybrid deployment model needed today by enterprises that are undergoing significant business model transformation."

    In addition to competitive and data challenges, organizations are also scrambling to bring applications once designed for public cloud behind the firewall for greater control, lower costs, greater security and easier management. In fact, in a recent IDC Cloud and AI Adoption Survey[1], more than 80 percent of respondents said they plan to move or repatriate data and workloads from public cloud environments behind the firewall to hosted private clouds or on-premises locations over the next year, because the initial expectations of a single public cloud provider were not realized.

    "As these dynamics continue, they'll work to slow innovation and hinder companies' progression to enterprise AI," said Rob Thomas, general manager, IBM Analytics. "Scaling the ladder to AI demands robust data prep, analytics, data science and governance, all of which are easily scaled and streamlined in the kind of containerized, Kubernetes-orchestrated environments that we're talking about today."

    About Hortonworks Hortonworks is a leading provider of enterprise-grade, global data management platforms, services and solutions that deliver actionable intelligence from any type of data for over half of the Fortune 100.  Hortonworks is committed to driving innovation in open source communities, providing unique value to enterprise customers. Along with its partners, Hortonworks provides technology, expertise and support so that enterprise customers can adopt a modern data architecture.

    Hortonworks and HDP are registered trademarks or trademarks of Hortonworks, Inc. and its subsidiaries in the United States and other jurisdictions. All other trademarks are the property of their respective owners. For more information, please visit www.hortonworks.com.

    Hortonworks' Forward-Looking Statements This press release may contain "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended.

    Forward-looking statements provide current expectations of future events based on certain assumptions and include any statement that does not directly relate to any historical or current fact.  They may include (without limitation) information regarding our expectations, goals or intentions regarding our offerings, technology, partnerships, activities, future performance, our adoption of or involvement with others' offerings, and others' adoption of or involvement with our offerings.  Forward-looking statements are subject to known and unknown risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, our results could differ materially from the results expressed or implied by the forward-looking statements we make. Information on factors that could affect our financial results and the forward-looking statements in this press release are included in our Form 10-K filed on March 15, 2018, our Quarterly Report on Form 10-Q for the quarter ended June 30, 2018 filed on August 9, 2018, or in other filings we make with the Securities Exchange Commission from time to time, particularly under the caption Risk Factors. All forward-looking statements in this press release are made as of the date hereof, based on information available to us as of the date hereof, and we undertake no obligation, and do not intend, to update these forward-looking statements. 

    About IBM  For more about IBM Analytics visit www.ibm.com/analytics.

    About Red Hat, Inc. Red Hat is the world's leading provider of open source software solutions, using a community-powered approach to provide reliable and high-performing cloud, Linux, middleware, storage and virtualization technologies. Red Hat also offers award-winning support, training, and consulting services. As a connective hub in a global network of enterprises, partners, and open source communities, Red Hat helps create relevant, innovative technologies that liberate resources for growth and prepare customers for the future of IT. Learn more at http://www.redhat.com.

    Red Hat's Forward-Looking Statements Certain statements contained in this press release may constitute "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements provide current expectations of future events based on certain assumptions and include any statement that does not directly relate to any historical or current fact. Actual results may differ materially from those indicated by such forward-looking statements as a result of various important factors, including: risks related to the ability of Red Hat to compete effectively; the ability to deliver and stimulate demand for new products and technological innovations on a timely basis; delays or reductions in information technology spending; the integration of acquisitions and the ability to market successfully acquired technologies and products; risks related to errors or defects in Red Hat offerings and third-party products upon which Red Hat offerings depend; risks related to the security of Red Hat offerings and other data security vulnerabilities; fluctuations in exchange rates; the effects of industry consolidation; uncertainty and adverse results in litigation and related settlements; the inability to adequately protect Red Hat intellectual property and the potential for infringement or breach of license claims of or relating to third party intellectual property; changes in and a dependence on key personnel; the ability to meet financial and operational challenges encountered in our international operations; and ineffective management of, and control over, Red Hat's growth and international operations, as well as other factors contained in Red Hat's most recent Quarterly Report on Form 10-Q (copies of which may be accessed through the Securities and Exchange Commission's website at http://www.sec.gov), including those found therein under the captions "Risk Factors" and "Management's Discussion and Analysis of Financial Condition and Results of Operations". In addition to these factors, actual future performance, outcomes, and results may differ materially because of more general factors including (without limitation) general industry and market conditions and growth rates, economic and political conditions, governmental and public policy changes and the impact of natural disasters such as earthquakes and floods. The forward-looking statements included in this press release represent Red Hat's views as of the date of this press release and these views could change. However, while Red Hat may elect to update these forward-looking statements at some point in the future, Red Hat specifically disclaims any obligation to do so. These forward-looking statements should not be relied upon as representing Red Hat's views as of any date subsequent to the date of this press release.

    Red Hat and OpenShift are trademarks or registered trademarks of Red Hat, Inc. or its subsidiaries in the U.S. and other countries.

    Media contact:

    Michelle Lazzar, Hortonworkscomms@hortonworks.com (408) 884-9861

    [1] IDC, Cloud Repatriation Accelerates in a Multicloud World, doc #US44185818, August 2018

    SOURCE Hortonworks, Inc.

    Related Links

    http://www.hortonworks.com


    Red Hat Partners IBM, Hortonworks for Hybrid Architecture | killexams.com real questions and Pass4sure dumps

    Red Hat RHT recently announced a collaboration with Hortonworks HDP and International Business Machines IBM for Open Hybrid Architecture Initiative, which is aimed at bringing big data to hybrid cloud environments.

    The initiative is aimed at managing big data workloads across multi-cloud, edge architectures and hybrid on-premises to help customers take care of their data and access analytical and decision-making applications.

    With data increasing at a massive pace, enterprises require applications and security to help them arrive at business decisions faster than ever. The collaboration will cater to this need and also provide customized tools that can be deployed on-premise with hybrid cloud environments.

    Deal Details

    Red Hat’s collaboration with Hortonworks and IBM will help deploy big data analytical tools, machine learning, cloud management solutions and security on Red Hat OpenShift enterprise container and Kubernetes application platform.

    Reportedly, Hortonworks will work to certify its big data products Hortonworks Data Platform, Hortonworks DataFlow and Hortonworks DataPlane as “Red Hat Certified Containers on Red Hat OpenShift.”

    Moreover, IBM is also working toward Red Hat OpenShift certification process for its private cloud platform.

    Notably, IBM and Hortonworks will continue their collaboration made last June to provide enterprises with decision making power based on informative data output sets.

    We believe this collaboration will help Red Hat’s customers take advantage of the hybrid data architecture, which enables quick decision making.

    Moreover, Red Hat’s partners have played an important role in helping the company deliver value and success to its customers.

    Red Hat, Inc. Revenue (TTM)

    View photos

    Red Hat, Inc. Revenue (TTM) | Red Hat, Inc. Quote

    Partnerships to Boost the Top Line

    Red Hat’s expanding partner base with established IT players like Hewlett Packard Enterprise, IBM, Microsoft MSFT, Oracle, SAP SE, Cisco, Dell, Fujitsu Limited and many others is a positive.

    Additionally, the company’s collaborations with cloud providers like Amazon, Google and Alibaba position it for deal wins on a continuous basis. This is expected drive deferred revenues. Notably, in the last reported quarter, total deferred revenues increased 19% year over year to $2.4 billion.However, Pivotal Container Service (PKS) formed through the partnership of Google, Pivotal and VMware is a significant threat in this regard. Moreover, Red Hat’s increasing investments on emerging technologies is expected to put pressure on margins.

    Nevertheless, this Zacks Rank #3 (Hold) company is expected to benefit from its growing partnerships with big names and robust demand for OpenShift.

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    Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report International Business Machines Corporation (IBM) : Free Stock Analysis Report Hortonworks, Inc. (HDP) : Free Stock Analysis Report Microsoft Corporation (MSFT) : Free Stock Analysis Report Red Hat, Inc. (RHT) : Free Stock Analysis Report To read this article on Zacks.com click here. Zacks Investment Research


    Cloud buoys data microservices -- for on-premises systems, too | killexams.com real questions and Pass4sure dumps

    It shouldn't be too startling to learn that cloud architectures are coming to data centers. Even if they are stuck on an organization's premises, today's enterprise architects want to get in on the action as data microservices evolve.

    The cloud architectures they are bringing down to earth come largely via containers that are based on a microservices approach akin to old-time SOA -- which stands for service-oriented architecture, not Sons of Anarchy, the outlaw biker club from the TV show of the same name. Data microservices are like SOA, only more micro.

    Improving big data support for containers was one of the engineering to-do list items cited by Hadoop vendors Cloudera and Hortonworks when they announced plans to merge this month. That and a move to wider use of cloud object storage represent a big shift coming to big data.

    Kubernetes orchestration

    While containers were born as stateless vessels, work is underway to make them more stateful, with support for persistence of data in applications. If successful, this could simplify the use of multiple for-purpose analytics engines and frameworks -- think Hive, Presto, Druid, TensorFlow and so on.

    Used together with the increasingly popular Kubernetes container orchestration technology, data microservices will soon emerge as an alternative style of data processing, whether on the cloud or off.

    It's early, and there is a lot of learning to do, as evidenced by Kubernetes sessions that were often full at last month's Strata Data Conference in New York. After learning comes building, much of which is necessary before the new architecture can take root.

    Enter Cloud Private for Data

    For IBM and its customers, finding a balance between on-premises and cloud data architectures is an ongoing quest. The company's vigorous embrace of both Hadoop and Spark has been noted before, but IBM is still working to neatly package those and other big data mainstays for cloud and on-premises deployments.

    Near the end of the Strata conference, we spoke with Rob Thomas, general manager of IBM Analytics, as he prepared for a panel discussion on the company's IBM Cloud Private for Data platform and the role it can play in bringing AI to fruition. The Cloud Private for Data package includes Db2, Db2 Warehouse and Db2 Event Store, and it supports various interfaces for data scientists and other predictive analytics users, both on and off the cloud.

    "If you built a model on private cloud, you can deploy it on public cloud. Or, if you built it on public cloud, you can deploy it on private cloud," Thomas said. The data preparation and governance tools are the same whether the deployment is public or private, he added.

    Thomas said the company recently followed through on plans to add support for MongoDB, EnterpriseDB's EDB Postgres and IBM Data Risk Manager to IBM Cloud Private for Data, and it is working to certify the platform to work with Red Hat's OpenShift container application technology.

    Chart showing differences between monolithic and microservices Monolithic vs. microservices

    IBM's traditional data-side competitors are also looking to connect data analytics on premises with data analytics in the cloud. Oracle's efforts center on its Oracle Cloud at Customer undertaking. And Microsoft recently previewed a version of SQL Server 2019 that can bring the Azure versions of Spark and Hadoop down into the data center.

    IBM has significant cloud development and data alliances with Red Hat and Hortonworks, both of which touch on data microservices. Both companies combined with IBM just before Strata to launch an Open Hybrid Architecture Initiative. The project's purpose is to meld Kubernetes, containers and Hadoop workloads, and there is much work to be done in that regard, Thomas said.

    Remaking the monolithic

    After Strata, we checked in with Tom Phelan, co-founder and chief architect at BlueData Software, maker of the software platform BlueData Epic, which is short for Elastic Private Instant Clusters. He said he liked the goals of the Open Hybrid Architecture Initiative, but added that there must be more work before it can move forward.

    "A big issue is that, when Hadoop was written, it was written as a monolithic architecture," Phelan said.

    That is the case even though Hadoop can be broken down into services such as the name node, the YARN resource manager, Hive, Hadoop Distributed File System services and so on.

    When Hadoop was written, it was written as a monolithic architecture. Tom Phelanchief architect, BlueData

    "None of those are microservice-architected," Phelan said. "Those services have to be started in a certain order. They have to interact with each other service in a very particular way. There is, for example, no way to restart one of those services and not have it impact other services that are running."

    For its part, BlueData this month released KubeDirector, an open source project for developing stateful application clusters on Kubernetes.

    New scheme coming?

    Whether data moves to the cloud or not, the influence of cloud architecture looms as substantial.

    "Companies obviously have a lot of on-premises data going into the cloud, but not all the data is going to the cloud," said Forrester analyst Noel Yuhanna. "Sometimes, when the cloud bill comes in, it may be huge -- maybe more than on premises."

    Moves such as the Open Hybrid Architecture Initiative address the need to harmonize views in the two domains, according to Yuhanna, and set the stage for common management policies for both.

    "You want an architecture that can manage both cloud and on-premises data with common policies," he added.

    Back when SOA walked the earth, it brought about a reworking -- or rewrapping -- of legacy systems. New data microservices could make existing big data systems akin to legacy systems. That would be nothing more than progress.

    It's a good bet that, as hybrid data processing becomes more real, data will be shuttling from here to there and back. And, of course, YANA -- Yet Another New Architecture -- will be waiting in the wings.



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    IBM C2090-102 Exam (IBM Big Data Architect) Detailed Information



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