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C2030-102 - IBM Big Data Architect - Dump Information

Vendor : IBM
Exam Code : C2030-102
Exam Name : IBM Big Data Architect
Questions and Answers : 55 Q & A
Updated On : April 19, 2019
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C2030-102 Questions and Answers

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C2030-102 IBM Big Data Architect

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C2030-102 exam Dumps Source : IBM Big Data Architect

Test Code : C2030-102
Test Name : IBM Big Data Architect
Vendor Name : IBM
Q&A : 55 Real Questions

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IBM IBM Big Data Architect

Hortonworks, IBM, pink Hat Collaborate to aid accelerate Containerized huge statistics Workloads for Hybrid Architectures | killexams.com Real Questions and Pass4sure dumps

Hortonworks facts Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud inner most for facts carry comprehensive business information structures to crimson Hat OpenShift

ny, Sept. 10, 2018 /PRNewswire/ -- Strata information conference - Hortonworks (HDP), IBM (IBM) and RedHat (RHT) nowadays introduced an Open Hybrid architecture Initiative, a brand new collaborative effort the businesses can use to construct a standard enterprise deployment mannequin it's designed to permit massive facts workloads to run in a hybrid method across on-premises, multi-cloud and facet architectures.

Hortonworks emblem. (PRNewsFoto/Hortonworks)

greater

because the initial section of the initiative, the businesses plan to work together to optimize Hortonworks information Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud inner most for records for use on RedHat OpenShift, an trade-leading business container and Kubernetes utility platform. this may enable users to improve and installation containerized big data workloads, ultimately making it less complicated for shoppers to manage statistics purposes across hybrid cloud deployments. in addition, IBM and Hortonworks will lengthen their joint work to integrate key features provided via Hortonworks DataPlane with IBM Cloud inner most for statistics.

agencies are undergoing large enterprise model transformations, powered through the means to manner and analyze new types and giant quantities of information. as a result, many are moving to hybrid cloud environments that leverage light-weight microservices in the premier method viable.

Hortonworks and IBM prior to now announced a collaboration to assist companies speed up information-pushed choice-making. modern day information builds upon that foundation with the intent to convey massive information workloads to a latest and container-primarily based foundation, enabling valued clientele to install Hortonworks and IBM systems right into a hybrid cloud atmosphere powered by purple Hat OpenShift. The initiative comprises right here:

  • Hortonworks plans to certify Hortonworks facts Platform, Hortonworks DataFlow and Hortonworks DataPlane as red Hat certified Containers on crimson Hat OpenShift and looks forward to attaining "Primed" designation. moreover, Hortonworks will enhance HDP to adopt a cloud-native architecture for on-premises deployments by using separating compute and storage and containerizing all Hortonworks facts Platform and Hortonworks DataFlow workloads. This enables valued clientele to extra with ease undertake a hybrid structure for large data purposes and analytics, all with the commonplace and trusted safety facets, facts governance and operations that enterprises require.
  • IBM, which introduced plans previous 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 private for information, and has executed "Primed" designation as the first part. The circulate will support provide the monstrous OpenShift community of developers and users – which include IBM and Hortonworks valued clientele – speedy entry to amazing analytics, records science, laptop getting to know, statistics management and governance capabilities, fully supported throughout hybrid clouds.
  • "Kubernetes is the de facto container orchestration system and we now have been working during this ecosystem since the task's infancy to help make it competent for all, and especially the business in purple Hat OpenShift. these days we're overjoyed that Hortonworks and IBM Cloud deepest's facts portfolio have selected crimson Hat OpenShift because the depended on Kubernetes platform for large facts workloads," noted Ashesh Badani, vp and popular supervisor, Cloud structures, red Hat. "by means of building and managing their functions by way of containers and Kubernetes with OpenShift, shoppers and the large statistics ecosystem have alternatives to convey this next generation of huge facts workloads to the hybrid cloud and bring the merits of an agile, effective, respectable, multi-cloud infrastructure."

    "The work that crimson Hat, IBM and Hortonworks are doing to modernize enterprise large records workloads by means of containerization is aimed toward helping purchasers to take capabilities of the agility, economics and scale of a hybrid information structure," talked about Rob Bearden, chief executive officer of Hortonworks. "The innovations on account of this collaboration can allow the seamless and trusted hybrid deployment mannequin needed nowadays by using firms which are present process gigantic enterprise model transformation."

    in addition to competitive and records challenges, groups are additionally scrambling to convey functions once designed for public cloud behind the firewall for greater manage, lower prices, improved security and less difficult management. definitely, in a recent IDC Cloud and AI Adoption Survey[1], more than 80 percent of respondents talked about they plan to movement or repatriate facts and workloads from public cloud environments at the back of the firewall to hosted inner most clouds or on-premises areas over the next yr, since the initial expectations of a single public cloud issuer were now not realized.

    Story continues

    "As these dynamics proceed, they will work to slow innovation and avert organizations' development to enterprise AI," talked about Rob Thomas, common manager, IBM Analytics. "Scaling the ladder to AI demands strong facts prep, analytics, statistics science and governance, all of which can be easily scaled and streamlined within the sort of containerized, Kubernetes-orchestrated environments that we're speakme about these days."

    About Hortonworks Hortonworks is a number one company of commercial enterprise-grade, global facts administration structures, services and options that bring actionable intelligence from any classification of information for over half of the Fortune a hundred.  Hortonworks is committed to riding innovation in open source communities, providing enjoyable value to business valued clientele. together with its companions, Hortonworks gives technology, abilities and assist in order that enterprise valued clientele can undertake a latest information architecture.

    Hortonworks and HDP are registered logos or logos of Hortonworks, Inc. and its subsidiaries in the u.s. and other jurisdictions. All other trademarks are the property of their respective homeowners. For greater assistance, please discuss with www.hortonworks.com.

    Hortonworks' forward-searching Statements This press free up can also contain "forward-looking statements" inside the meaning of section 27A of the Securities Act of 1933, as amended, and area 21E of the Securities exchange Act of 1934, as amended.

    forward-looking statements deliver existing expectations of future events in line with definite assumptions and include any remark that does not directly relate to any old or existing reality.  They may also include (without quandary) assistance concerning our expectations, dreams or intentions related to our choices, know-how, partnerships, activities, future efficiency, our adoption of or involvement with others' choices, and others' adoption of or involvement with our choices.  forward-looking statements are area to conventional and unknown risks and uncertainties and are in keeping with potentially inaccurate assumptions that may cause genuine outcomes to differ materially from those expected or implied by the forward-searching statements. If this type of dangers or uncertainties materialize or if any of the assumptions show unsuitable, our results might fluctuate materially from the outcomes expressed or implied by means of the ahead-looking statements we make. tips on elements that might have an effect on our monetary consequences and the ahead-looking statements during this press liberate are included in our form 10-okay filed on March 15, 2018, our Quarterly record 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 change commission occasionally, in particular under the caption chance components. All forward-searching statements during this press unlock are made as of the date hereof, in keeping with suggestions attainable to us as of the date hereof, and we undertake no obligation, and do not intend, to replace these forward-looking statements. 

    About IBM  For greater about IBM Analytics discuss with www.ibm.com/analytics.

    About red Hat, Inc. crimson Hat is the area's main company of open supply application options, the use of a group-powered approach to supply reputable and excessive-performing cloud, Linux, middleware, storage and virtualization applied sciences. pink Hat additionally offers award-successful guide, training, and consulting features. As a connective hub in a worldwide network of organizations, companions, and open source communities, purple Hat helps create central, imaginative technologies that liberate materials for increase and prepare purchasers for the future of IT. learn more at http://www.redhat.com.

    pink Hat's ahead-looking Statements certain statements contained in this press unencumber may constitute "ahead-looking statements" inside the that means of the private Securities Litigation Reform Act of 1995. forward-looking statements provide latest expectations of future movements according to certain assumptions and include any commentary that does not without delay relate to any old or present truth. actual consequences may vary materially from these indicated through such forward-looking statements as a result of a lot of essential factors, including: hazards regarding the means of purple Hat to compete comfortably; the means to carry and stimulate demand for new products and technological improvements on a timely foundation; delays or reductions in information expertise spending; the integration of acquisitions and the means to market effectively received applied sciences and items; dangers related to error or defects in purple Hat offerings and third-birthday party items upon which red Hat choices depend; hazards concerning the security of red Hat choices and different information safety vulnerabilities; fluctuations in change rates; the outcomes of industry consolidation; uncertainty and hostile consequences in litigation and connected settlements; the lack of ability to thoroughly protect purple Hat intellectual property and the capabilities for infringement or breach of license claims of or concerning third party highbrow property; adjustments in and a dependence on key personnel; the skill to fulfill monetary and operational challenges encountered in our international operations; and ineffective administration of, and manage over, pink Hat's growth and overseas operations, as well as other elements contained in purple Hat's most fresh Quarterly record on form 10-Q (copies of which may well be accessed in the course of the Securities and change fee's web page at http://www.sec.gov), together with these discovered therein beneath the captions "chance components" and "administration's dialogue and analysis of financial condition and effects of Operations". besides these factors, actual future efficiency, results, and effects might also range materially on account of more widely wide-spread elements including (devoid of drawback) generic business and market situations and boom quotes, financial and political circumstances, governmental and public policy alterations and the affect of herbal failures reminiscent of earthquakes and floods. The ahead-searching statements blanketed during this press unencumber symbolize purple Hat's views as of the date of this press unencumber and these views could change. besides the fact that children, whereas red Hat can also choose to replace these ahead-looking statements at some point sooner or later, red Hat mainly disclaims any duty to achieve this. These ahead-searching statements should now not be relied upon as representing purple Hat's views as of any date subsequent to the date of this press liberate.

    pink Hat and OpenShift are emblems or registered logos 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 speeds up in a Multicloud World, doc #US44185818, August 2018

     

    View customary content material to down load multimedia:http://www.prnewswire.com/information-releases/hortonworks-ibm-purple-hat-collaborate-to-assist-accelerate-containerized-huge-statistics-workloads-for-hybrid-architectures-300709451.html


    An structure built for top-performance Healthcare | killexams.com Real Questions and Pass4sure dumps

    “The healthcare business is exploding with new guidance, and as we continue to move in opposition t advanced scientific analytics, we be aware of this vogue isn't slowing down,” states Bryan Fiekers, Senior Director of analysis at HIMSS Analytics, in a look at that center of attention on modernizing healthcare expertise.

    This statement practically sums up one of the vital largest challenges facing healthcare corporations today. And it also highlights some of the strongest alternatives for those that are looking to be at the forefront of transforming biomedical analysis and advancing precision medication.

    within the actually exabytes of facts flooding into scientific analysis and repair start corporations, at the present time lie insights that can retailer lives, cause new discoveries, and radically change affected person care – for the businesses inclined to optimize the way they leverage, analyze, and utilize their most advantageous resource: records.

    this is the message that IBM techniques will convey to the 2019 HIMSS Annual convention and Exhibition (HIMSS19) in Orlando, Florida, on February eleven-15. in the back of this message exists a confirmed solution that helps probably the most biggest main precision medicine initiatives everywhere – the IBM excessive-efficiency facts and AI (HPDA) reference structure for healthcare– a basis that may support companies leverage the alternatives inherent in their large new records sets.

    even if you're a fitness insurer that should deliver fine features to aid individuals make improved decisions to maintain their fitness; a university researcher publishing journal articles trying to win your next round of furnish funding; an information scientist in commercial R&D company progressing knowledge medication via clinical trials; or a doctor in a clinic delivering treatments a good way to supply patients the ultimate scientific consequences – with HPDA you'll journey new statistics for velocity and scale. in the 21st century, healthcare stakeholders need a authentic, flexible, and at ease computing platform that meets their diverse software necessities.

    via our work with many foreign businesses and healthcare industry company partners, IBM has considered that corporations that adopted our HPDA reference structure for genomics, imaging, EHR, deep studying and different huge records initiatives in biomedical research have carried out constructive effects and critical merits.

    At HIMSS19, IBM will characteristic a number of actual-world examples of HPDA architectures and accessories assisting groups seriously change their capabilities to gain perception from massive datasets.

    as an instance, Aetna improves customized care by means of featuring real-time entry to advice and high-quality functions that support tens of tens of millions of americans make superior selections to hold their fitness and manage prices. The session on the IBM booth #6459 at HIMSS19 will show how the inclusion of excessive-performance IBM storage and software-described infrastructure more suitable the overall efficiency and speed to beginning of the business records warehouse, permitting Aetna to investigate large amounts of information quicker, whereas addressing compliance and privateness-related issues – and chopping fees.

    booth guests will additionally learn the way Thomas Jefferson university is coupling big collections of distinct organic datasets with excessive-performance computing to force new advances in precision medication. The Jefferson team has generated facts from processing huge quantities of facts to show that a person’s intercourse, race/ethnicity, and geographic foundation have an effect on predisposition for ailment, how a disorder may development, and the therapeutic alternatives that might be most relevant to pursue.

    The IBM HPDA architecture is developed on IBM’s background of supplying superior practices in high-performance computing (HPC). truly, the fundamental HPDA framework was used to construct Summit and Sierra – currently two of the area’s most powerful supercomputers designed for data and AI. The structure is designed to assist healthcare and lifestyles science organizations readily scale compute and storage materials as demand grows, and to assist the big selection of development frameworks and functions required for trade innovation – all devoid of unnecessary re-investments in know-how.

    Our reference structure for healthcare contains key infrastructure components from IBM’s high-efficiency compute and storage portfolio, and it supports an expanding ecosystem of main trade companions. The IBM HPDA architecture is according to IBM Storage and IBM application-described Storage solutions, utility-described infrastructure, IBM POWER9 servers, and the IBM POWERAI comprehensive AI platform. It defines a extremely bendy, scalable, and comparatively cheap platform for getting access to, managing, storing, sharing, integrating, and examining big records in the constraints of restricted IT budgets. IT companies can use the reference structure as a high-level e book for overcoming records administration challenges and processing bottlenecks commonly encountered in personalized healthcare initiatives and other compute- and records-intensive biomedical workloads.

    Introducing the brand new capabilities of the IBM HPDA architecture and proposing client success studies aren’t the only highlights IBM techniques will function at HIMSS19. we can additionally host a breakfast briefing panel dialogue protecting the critical function that an HPDA structure can play in assisting healthcare organizations resolve one of the vital greatest analysis and analytics challenges they face. during this panel, Aetna, representatives from Louisiana State university, and Froedtert fitness will share how they are accelerating discoveries and enhancing customized care by using bendy, scalable, at ease, and reasonably priced excessive-efficiency systems that can leverage the cloud to be sure the maximum degrees of information availability, reliability, and compliance.

    Come meet our IBM systems HPDA business specialists for a demo on the IBM sales space #6459. And before you go, get a glimpse of our full classes time table in this weblog – Making precision drugs a reality.


    big data becomes structure in this CNC-Milled screen Wall for IBM | killexams.com Real Questions and Pass4sure dumps

    massive information becomes architecture during this CNC-Milled display Wall for IBM

    Big Data Becomes Architecture in This CNC-Milled Screen Wall for IBM, Courtesy of Synthesis Design + Architecture Courtesy of Synthesis Design + architecture

    Responding partially to recent debates on how big facts will have an effect on our built environments, Synthesis Design + architecture have teamed up with IBM Watson Analytics to design an interior function wall for the Watson adventure core in San Francisco. The project, named statistics Moiré after the dizzying patterns created via overlapping sets of strains, makes use of records from the have an effect on of cell phones on month-to-month purchaser spending to create a precise display fabric that defines the wall.

    Courtesy of Synthesis Design + Architecture Courtesy of Synthesis Design + Architecture Courtesy of Synthesis Design + Architecture Courtesy of Synthesis Design + Architecture + 31

    Courtesy of Synthesis Design + Architecture Courtesy of Synthesis Design + architecture Courtesy of Synthesis Design + Architecture Courtesy of Synthesis Design + structure

    The statistics-driven patterns on the surface of the wall are a result of parametric modeling according to Watson's personal information analysis, thus not simplest forming a part of the showroom but actively showing off the capabilities of the system itself. The generative design changed into CNC milled onto two sheets of aluminum, which together create an tricky display of counsel that is lit from between the two layers.

    Courtesy of Synthesis Design + Architecture Courtesy of Synthesis Design + structure Courtesy of Synthesis Design + Architecture Courtesy of Synthesis Design + architecture

    on its own, the installing is a standout commercial for IBM's showroom. with none explanation, the design offers little indication that it represents a massive records set. however within the presence of a well informed ebook, the entire narrative of the area as the materialization of an summary set of data gives new meaning. "whereas the assignment is driven by way of information, the legibility of that information is summary in place of literal," explains Synthesis Design + architecture in a press release. "as opposed to supply a statistical or analytical studying of the statistics, the assignment as an alternative provides a spatial and atmospheric studying that enhances the event of visitors to the center and encourages them to interact spatially."

    Courtesy of Synthesis Design + Architecture Courtesy of Synthesis Design + structure

    information Moiré's gentle spiral form makes it possible for guests to develop into immersed in a tangible aspect that, due to the baffling scale of the statistics it represents, could be unimaginable to hold close otherwise. That it required a supercomputer to make sufficient feel of the statistics for it to materialize in the type of aluminum monitors opens a complete dialogue in regards to the position of the human within the sea of guidance we create daily. 

    © Arktura LLC © Arktura LLC Courtesy of Synthesis Design + Architecture Courtesy of Synthesis Design + architecture

    Architects: Synthesis Design + ArchitectureLocation: San Francisco, USAClient: IBM WatsonStatus: achieved 2016Program​: function WallArea: 35 sfDesign group: Alvin Huang (major), Mo Harmon, Farnoosh RafaieCollaborators: IBM Watson Analytics (statistics analysis), Arktura LLC - la (fabrication), Gensler - San Francisco (interiors)

    did you know?

    you're going to now receive updates in line with what you comply with! personalize your movement and start following your favorite authors, places of work and clients.


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    IBM Big Data Architect

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    Workload acceleration with the IBM POWER vector-scalar architecture | killexams.com real questions and Pass4sure dumps

    11 D Citron, H Inoue, T Moriyama, M Kawahito, H Komatsu,

    and T Nakatani, “Exploiting the AltiVec unit for commercial

    applications,”in Proc 9th Workshop Comput Archit Eval

    Commercial Workloads, Austin, TX, USA, 2006, pp 1–7

    12 L Eisen, J J W Ward, III, H Tast, N Mäding, J Leenstra,

    S M Mueller, C Jacobi, J Preiss, E M Schwarz, and

    S R Carlough, “IBM POWER6 accelerators VMX and DFU,”

    IBM J Res Dev , vol 51, no 7, pp 663–684, 2007

    13 “Hybrid computing systems,”IBM J Res & Dev , vol 53,

    no 5, pp 1–2, Sep 2009

    14 M Gschwind, F Gustavson, and J F Prins, “High performance

    computing with the cell broadband engine,”Sci Program ,

    vol 17, no 1/2, pp 1–2, 2009

    15 D Grice, H Brandt, C Wright, P McCarthy, A Emerich,

    T Schimke, C Archer, J Carey, P Sanders, J A Fritzjunker,

    S Lewis, and P Germann, Breaking the petaflops barrier,

    IBM J Res Dev , vol 53, no 5, pp 1 1–1 16, Sep 2009

    16 The TOP500 List, Nov 2008 [Online] Available http //www

    top500 org/lists/2008/11/

    17 The Green500 List, Jun 2008 [Online] Available http //www

    green500 org/lists/green200806

    18 V Salapura, R Bickford, M A Blumrich, A A Bright,

    D Chen, P Coteus, A Gara, M Giampapa, M Gschwind,

    M Gupta, S Hall, R A Haring, P Heidelberger,

    D Hoenicke, G V Kopcsay, M Ohmacht, R A Rand,

    T Takken, and P Vranas, “Power and performance

    optimization at the system level,”in Proc Conf Comput

    Frontiers, 2005, pp 125–132

    19 V Salapura, R Walkup, and A Gara, “Exploiting workload

    parallelism for performance and power optimization in blue

    gene,”IEEE Micro, vol 26, no 5, pp 67–81, Sep /Oct 2006

    20 B Sinharoy, J A Van Norstrand, R J Eickemeyer,

    H Q Le, J Leenstra, D Q Nguyen, B Konigsburg, K Ward,

    M D Brown, J E Moreira, D Levitan, S Tung, D Hrusecky,

    J W Bishop, M Gschwind, M Boersma, M Kroener,

    M Kaltenbach, T Karkhanis, and K M Fernsler, “IBM

    POWER8 processor core microarchitecture,”IBM J Res &

    Dev , vol 59, no 1, Paper 2, pp 2 1–2 21, 2015

    21 M Gschwind and B Olsson, “Multi-addressable register file,”

    US Patent 7877 582, Jan 31, 2008

    22 IEEE Standard for Floating-Point Arithmetic, IEEE 754-2208,

    Aug 2008

    23 R Johnson, V Raman, R Sidle, and G Swart, “Row-wise

    parallel predicate evaluation,”in Proc Very Large Database

    Endowment PVLDB, 2008, pp 622–634

    24 A Eichenberger, P Wu, and K O’Brien, “Vectorization for

    SIMD architectures with alignment constraints,”in Proc

    ACM SIGPLAN Conf Program Language Des Implement ,

    ACM SIGPLAN Notices, vol 39, no 6, pp 82–93, May 2004

    25 P Wu, A Eichenberger, and A Wang, “Efficient SIMD code

    generation for runtime alignment and length conversion,”in

    Proc IEEE Int Symp CGO, 2005, pp 153–164

    26 A E Eichenberger, J K O’Brien, K M O’Brien, P Wu,

    T Chen, P H Oden, D A Prener, J C Shepherd, B So,

    Z Sura, A Wang, T Zhang, P Zhao, M K Gschwind,

    R Archambault, Y Gao, and R Koo, “Using advanced

    compiler technology to exploit the performance of the Cell

    Broadband Engine architecture,”IBM Syst J , vol 45, no 1,

    pp 59–84, 2006

    27 D Nuzman and R Henderson, “Multi-platform

    auto-vectorization,”in Proc 4th Annu Int Symp CGO,

    Mar 2006, pp 281–294

    28 M Gschwind, “Method and apparatus for generating data

    parallel select operations in a pervasively data parallel

    System,”US Patent 8201 159, Aug 4, 2006

    29 M Gschwind, D Erb, S Manning, and M Nutter, “An open

    source environment for cell broadband engine system software,”

    IEEE Comput , vol 40, no 6, pp 37–47, Jun 2007

    30 A Eichenberger, M Gschwind, J Gunnels, and V Salapura,

    “Matrix multiplication operations using pair-wise load and splat

    operations,”US Patent Appl 2012/0011348,

    Jan 12, 2010

    31 M Gschwind, “Optimizing data sharing and address translation

    for the cell BE heterogeneous chip multiprocessor,”in Proc

    IEEE 26th Int Conf Comput Des , Lake Tahoe, CA, USA,

    2008, pp 478–485

    32 V Salapura, T Karkhanis, P Nagpurkar, and J E Moreira,

    “Accelerating business analytics applications,”in Proc Conf

    High Performance Comput Archit , 2012, pp 413–422

    33 K Datta, M Murphy, V Volkov, S Williams, J Carter,

    L Oliker, D Patterson, J Shalf, and K Yelick, “Stencil

    computation optimization and auto-tuning on state-of-the-art

    multicore architectures,”in Proc ACM/IEEE Conf

    Supercomput , Austin, TX, USA, 2008, pp 1–12

    34 J Stuecheli, B Blaner, C R Johns, and M S Siegel, “CAPI

    A coherent accelerator processor interface,”IBM J Res Dev ,

    vol 59, no 1, pp 7 1–7 7, 2015

    Received January 14, 2015; accepted for publication

    February 25, 2015

    Michael Gschwind IBM Systems, Poughkeepsie, NY 12601

    architecture development in the IBM Systems division where he is a

    Senior Technical Staff Member and Senior Manager of the Systems

    Architecture team Dr Gschwind defined the vector-scalar

    architecture as the architecture lead for the PERCS (productive,

    easy-to-use, reliable computing system) project defining the future

    POWER7 processor, and continues to lead its development as

    IBM Systems Architecture Chief Architect Prior to his current role,

    he was Floating-Point Chief Architect and Unit Lead, and Technical

    Lead for core reliability for the Blue Gene*/Q In addition to his

    hardware development roles, Dr Gschwind has also held key

    software leadership roles; he developed the first Cell compiler and

    served as technical lead for the Cell software environment Most

    recently, he also served as Chief Architect for the OpenPOWER

    software environment where he led the definition of ABIs and APIs

    Dr Gschwind received his Ph D degree from Technische

    Universität Wien in Vienna, Austria in 1996 He has published

    numerous articles and received over 100 patents in the area of

    computer architecture In 2006, Dr Gschwind was recognized as IT

    Innovator and Influencer by ComputerWeek He is a member of the

    ACM (Association for Computing Machinery) SIGMICRO (Special

    Interest Group on Microarchitecture) Executive Board, a Member of

    the IBM Academy of Technology, an IBM Master Inventor, an

    ACM Distinguished Speaker, and an IEEE (Institute of Electrical

    and Electronics Engineers) Fellow

    14 : 18 M. GSCHWIND IBM J. RES. & DEV. VOL. 60 NO. 2/3 PAPER 14 MARCH/MAY 2016


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

    Hortonworks Data Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud Private for Data bring comprehensive enterprise data platforms to Red Hat OpenShift

    NEW YORK, Sept. 10, 2018 /PRNewswire/ -- Strata Data Conference - Hortonworks (HDP), IBM (IBM) and RedHat (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.

    Hortonworks logo. (PRNewsFoto/Hortonworks)

    More

    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.

    Story continues

    "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

     

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    Hortonworks, IBM, Red Hat release Open Hybrid Architecture Initiative to help boost containerized big data workloads for hybrid architectures | killexams.com real questions and Pass4sure dumps

    Hortonworks, IBM and Red Hat announced on Monday 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 enterprise container and Kubernetes application platform. This allows users to develop and deploy containerized big data workloads, 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.

    The initiative includes 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.

    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.

    “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.”



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