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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 : April 22, 2019
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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

DESY and IBM improve huge facts architecture for Science | killexams.com Real Questions and Pass4sure dumps

ARMONK, N.Y. and HAMBURG, Germany, Aug. 21, 2014 /PRNewswire/ -- IBM (NYSE: IBM) these days introduced it is participating with Deutsches Elektronen-Synchrotron (DESY), a number one national research center in Germany, to pace up administration and storage of massive volumes of x-ray statistics. The planned massive statistics and Analytics architecture in response to IBM application defined expertise can tackle more than 20 gigabyte per 2d of records at top efficiency and assist scientists global gain sooner insights into the atomic constitution 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 just about to the speed of easy – approximately 186,000 miles per 2nd – and sends them through a good magnetic slalom route to generate the most impressive x-ray radiation of its form. This synchrotron radiation is used by way of greater than 2,000 scientists each and every yr to assess the internal constitution of a whole lot of substances with atomic resolution. A key challenge during this manner is storing and dealing with massive volumes of X-ray statistics.

"a customary detector generates a data move of about 5 Gigabit per second, which is in regards to the records volume of 1 complete CD-ROM per 2d," spoke of Dr. Volker Gulzow, head of DESY IT. "And at PETRA III we do not need just one detector, but 14 beamlines equipped with many detectors, and they're presently being prolonged to 24. All this large information ought to be kept and dealt with reliably."

DESY is addressing this large facts challenge with the aid of IBM research and IBM software defined Storage technology code identify Elastic Storage that may scale with ease to shop and tackle more than 20 Gigabyte of facts flowing every 2nd from PETRA III. Elastic Storage can supply scientists with excessive-velocity entry to increasing volumes of analysis information. This architecture will allow DESY to enhance an open ecosystem for analysis and offer analysis-as-a-provider and cloud solutions to its users worldwide.

"IBM's application defined storage applied sciences can give DESY the scalability, pace and agility it requires to morph into a true-time analytics provider provider." talked about Jamie Thomas, universal supervisor Storage and software defined techniques, IBM. "IBM can take the experience won at DESY and switch it to other fields of records intensive science such as astronomy, local weather research and geophysics and design storage architectures for the evaluation of facts generated with the aid of dispensed detectors and sensors."

The scalability of the system can support DESY and a couple of overseas partners which are at the moment building the X-ray laser European XFEL, a analysis gentle supply that will generate much more statistics. "We predict about 100 Petabyte per 12 months from the european XFEL," spoke of Dr. Gulzow. that's corresponding to the yearly data quantity produced at the world's largest particle accelerator, the significant Hadron Collider (LHC) at the research center CERN in Geneva.

DESY is without doubt one of the world's leading accelerator centers and a member of the Helmholtz association. It develops, builds and operates significant particle accelerators used to investigate the constitution of remember. DESY is housed in Hamburg and Zeuthen in Germany and is home to 3000 scientists from over 40 international locations a year.

About Deutsches Elektronen-Synchrotron (DESY):

DESY is without doubt one of the world's main accelerator centres. Researchers use the tremendous-scale amenities at DESY to discover the microcosm in all its variety – from the interactions of tiny basic particles and the habits of new sorts of nanomaterials to biomolecular processes which are primary to life. The amenities generate the world's most extreme X-ray light, accelerate particles to record energies and open absolutely new windows onto the universe. That makes DESY now not most effective a magnet for more than 3000 guest researchers from over 40 nations each year. DESY cooperates with trade and company to promote new technologies so one can improvement society and encourage improvements. This additionally benefits the metropolitan regions of both DESY locations, Hamburg and Zeuthen near Berlin. http://www.desy.de/index_eng.html

greater assistance about IBM software defined Storage is accessible at this link. follow us on Twitter @ibmstorage

Contact assistance:

Chaiti Sen  IBM Media relations (1) (213) 633-8154  csen@us.ibm.com

emblem - http://photos.prnewswire.com/prnh/20090416/IBMLOGO

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

Hortonworks records Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud deepest for statistics bring complete enterprise information structures to crimson Hat OpenShift

manhattan, Sept. 10, 2018 /PRNewswire/ -- Strata records conference - Hortonworks (HDP), IBM (IBM) and RedHat (RHT) nowadays introduced an Open Hybrid structure Initiative, a brand new collaborative effort the agencies can use to build a typical enterprise deployment model that is designed to enable large statistics workloads to run in a hybrid method across on-premises, multi-cloud and area architectures.

Hortonworks emblem. (PRNewsFoto/Hortonworks)

greater

as the initial section of the initiative, the organizations plan to work collectively to optimize Hortonworks information Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud private for statistics for use on RedHat OpenShift, an industry-leading commercial enterprise container and Kubernetes utility platform. this can permit clients to advance and installation containerized huge statistics workloads, sooner or later making it less complicated for purchasers to control records applications across hybrid cloud deployments. in addition, IBM and Hortonworks will prolong their joint work to integrate key functions provided through Hortonworks DataPlane with IBM Cloud deepest for data.

organisations are present process massive enterprise mannequin transformations, powered by means of the capability to procedure and analyze new kinds and giant quantities of records. consequently, many are relocating to hybrid cloud environments that leverage light-weight microservices within the top-quality method viable.

Hortonworks and IBM previously introduced a collaboration to assist organizations accelerate data-pushed choice-making. contemporary information builds upon that foundation with the intent to deliver huge statistics workloads to a latest and container-primarily based groundwork, enabling consumers to deploy Hortonworks and IBM platforms right into a hybrid cloud environment powered via crimson Hat OpenShift. The initiative contains right here:

  • Hortonworks plans to certify Hortonworks records Platform, Hortonworks DataFlow and Hortonworks DataPlane as pink Hat licensed Containers on crimson Hat OpenShift and appears forward to reaching "Primed" designation. additionally, Hortonworks will boost HDP to undertake a cloud-native architecture for on-premises deployments through isolating compute and storage and containerizing all Hortonworks statistics Platform and Hortonworks DataFlow workloads. This allows purchasers to extra with ease undertake a hybrid structure for large data functions and analytics, all with the average and depended on safety points, records governance and operations that firms require.
  • IBM, which announced plans previous this year to lengthen IBM Cloud deepest platform and middleware to the OpenShift platform, has begun the crimson Hat OpenShift certification manner for IBM Cloud deepest for facts, and has completed "Primed" designation because the first phase. The circulation will aid provide the titanic OpenShift group of developers and clients – which encompass IBM and Hortonworks shoppers – speedy entry to powerful analytics, facts science, computer gaining knowledge of, statistics administration and governance capabilities, wholly supported across hybrid clouds.
  • "Kubernetes is the de facto container orchestration device and we have been working during this ecosystem on account that the challenge's infancy to support make it capable for all, and especially the commercial enterprise in pink Hat OpenShift. today we're delighted that Hortonworks and IBM Cloud inner most's facts portfolio have selected crimson Hat OpenShift because the depended on Kubernetes platform for big statistics workloads," talked about Ashesh Badani, vp and familiar supervisor, Cloud systems, crimson Hat. "by building and managing their purposes by way of containers and Kubernetes with OpenShift, shoppers and the large records ecosystem have opportunities to carry this subsequent generation of massive data workloads to the hybrid cloud and carry the merits of an agile, productive, authentic, multi-cloud infrastructure."

    "The work that pink Hat, IBM and Hortonworks are doing to modernize commercial enterprise big statistics workloads via containerization is geared toward helping customers to take competencies of the agility, economics and scale of a hybrid facts architecture," noted Rob Bearden, chief government officer of Hortonworks. "The improvements because of this collaboration can enable the seamless and relied on hybrid deployment mannequin obligatory these days with the aid of firms that are undergoing huge business model transformation."

    moreover competitive and statistics challenges, organizations are additionally scrambling to carry applications once designed for public cloud at the back of the firewall for greater handle, lower charges, more suitable security and simpler administration. definitely, in a recent IDC Cloud and AI Adoption Survey[1], more than eighty percent of respondents spoke of they plan to flow or repatriate records and workloads from public cloud environments in the back of the firewall to hosted inner most clouds or on-premises places over the subsequent year, because the preliminary expectations of a single public cloud provider had been not realized.

    Story continues

    "As these dynamics proceed, they may work to sluggish innovation and hinder groups' development to business AI," mentioned Rob Thomas, universal supervisor, IBM Analytics. "Scaling the ladder to AI calls for potent statistics prep, analytics, records science and governance, all of which might be without problems scaled and streamlined in the kind of containerized, Kubernetes-orchestrated environments that we're talking about these days."

    About Hortonworks Hortonworks is a leading provider of business-grade, world facts management systems, functions and options that bring actionable intelligence from any type of information for over half of the Fortune one hundred.  Hortonworks is committed to driving innovation in open source communities, proposing pleasing price to commercial enterprise purchasers. along with its partners, Hortonworks offers know-how, potential and guide in order that enterprise purchasers can adopt a latest records architecture.

    Hortonworks and HDP are registered emblems or logos of Hortonworks, Inc. and its subsidiaries in the u.s. and different jurisdictions. All different logos are the property of their respective homeowners. For more assistance, please consult with www.hortonworks.com.

    Hortonworks' ahead-searching Statements This press free up may contain "forward-looking statements" in the which means of section 27A of the Securities Act of 1933, as amended, and part 21E of the Securities change Act of 1934, as amended.

    forward-looking statements provide current expectations of future activities in keeping with definite assumptions and consist of any observation that does not at once relate to any historical or latest reality.  They may additionally encompass (devoid of problem) suggestions concerning our expectations, dreams or intentions involving our choices, know-how, partnerships, actions, future efficiency, our adoption of or involvement with others' offerings, and others' adoption of or involvement with our offerings.  forward-searching statements are area to well-known and unknown risks and uncertainties and are according to probably inaccurate assumptions that may trigger specific results to differ materially from these expected or implied by means of the forward-searching statements. If such a hazards or uncertainties materialize or if any of the assumptions show flawed, our effects could fluctuate materially from the outcomes expressed or implied by using the ahead-searching statements we make. assistance on components that could have an effect on our monetary outcomes and the ahead-looking statements during this press free up are blanketed 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 other filings we make with the Securities alternate commission every now and then, exceptionally beneath the caption possibility factors. All ahead-looking statements in this press liberate are made as of the date hereof, in accordance with information accessible to us as of the date hereof, and we undertake no duty, and don't intend, to update these forward-searching statements. 

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

    About red Hat, Inc. purple Hat is the world's main provider of open supply software options, the use of a neighborhood-powered approach to supply reputable and excessive-performing cloud, Linux, middleware, storage and virtualization technologies. purple Hat additionally presents award-successful support, working towards, and consulting features. As a connective hub in a world community of firms, partners, and open source communities, crimson Hat helps create vital, innovative applied sciences that liberate elements for growth and put together consumers for the future of IT. gain knowledge of more at http://www.redhat.com.

    crimson Hat's forward-searching Statements definite statements contained during this press liberate can also constitute "ahead-searching statements" inside the that means of the deepest Securities Litigation Reform Act of 1995. forward-searching statements provide existing expectations of future pursuits in line with certain assumptions and include any remark that does not without delay relate to any ancient or existing reality. exact effects may additionally fluctuate materially from these indicated by using such ahead-looking statements because of quite a few critical factors, including: risks involving the capacity of red Hat to compete simply; the skill to bring and stimulate demand for new products and technological innovations on a well timed groundwork; delays or discount rates in suggestions expertise spending; the integration of acquisitions and the capacity to market correctly got applied sciences and products; dangers regarding blunders or defects in red Hat offerings and third-celebration items upon which pink Hat choices rely; dangers regarding the safety of purple Hat offerings and other facts security vulnerabilities; fluctuations in trade costs; the results of industry consolidation; uncertainty and adversarial consequences in litigation and related settlements; the inability to properly give protection to purple Hat highbrow property and the potential for infringement or breach of license claims of or concerning third celebration highbrow property; alterations in and a dependence on key personnel; the ability to fulfill fiscal and operational challenges encountered in our foreign operations; and ineffective management of, and handle over, crimson Hat's increase and foreign operations, as well as other elements contained in pink Hat's most fresh Quarterly file on kind 10-Q (copies of which could be accessed during the Securities and alternate commission's website at http://www.sec.gov), together with these found therein under the captions "possibility components" and "management's discussion and evaluation of fiscal situation and results of Operations". in addition to these factors, exact future performance, outcomes, and consequences can also vary materially as a result of greater general factors together with (without hindrance) accepted industry and market circumstances and increase rates, economic and political circumstances, governmental and public policy alterations and the have an impact on of natural failures akin to earthquakes and floods. The forward-looking statements included in this press liberate symbolize purple Hat's views as of the date of this press unencumber and these views could exchange. besides the fact that children, whereas red Hat might also go with to replace these ahead-looking statements at some aspect in the future, red Hat in particular disclaims any responsibility to accomplish that. These forward-looking statements should now not be relied upon as representing purple Hat's views as of any date subsequent to the date of this press release.

    pink Hat and OpenShift are emblems or registered trademarks of crimson Hat, Inc. or its subsidiaries in the U.S. and other international locations.

    Media contact:

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

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

     

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    book Excerpt: delicate information management and access manage | killexams.com Real Questions and Pass4sure dumps

    under please locate an excerpt from a brand new title, O’Reilly Media’s The commercial enterprise massive information Lake: providing the Promise of big information and information Science, a new free up in the records Warehousing category by Alex Gorelik.

    The business information Lake is a go-to aid for CTOs, CDOs, chief analytics officers and their teams, the individuals charged with extracting the strategic and operational insights from petabytes of information that allows you to eventually transform their organizations into sooth-seeing, agile companies. The e-book charts in painstaking aspect a way to architect, put into effect, catalog and govern the up to date-day information lake, all whereas keeping an eye on budget and organizational agility in the brief and lengthy phrases. It also details use cases in quite a lot of industries, and offers views from practitioners at Charles Schwab, the university of San Francisco and different corporations.

    Over the course of his 30-yr profession,  Alex has solved probably the most thorniest data complications at one of the most world’s biggest companies, together with Unilever, Google, Royal Caribbean, LinkedIn, Kaiser Permanente, Goldman Sachs, GlaxoSmithKline and Fannie Mae. he's currently the founder of Waterline data, the holder of two patents on know-how that aids the quickly and simple discovery of facts throughout the commercial enterprise. Alex additionally situated two other groups that had been bought via IBM and SAP, and led the adoption of Hadoop as a distinct Engineer at IBM and GM at Informatica.

    sensitive information administration and entry control

    Excerpt from The enterprise large statistics Lake,” by using Alex Gorelick. published by O’Reilly Media, Inc. Copyright © 2019 Alex Gorelick. All rights reserved. Used with permission.

    one of the amazing concerns of facts governance groups is a way to manipulate delicate information. There are numerous trade-selected and country-particular laws that govern usage and protection of private or delicate information, such as the GDPR in Europe, HIPAA in the united states, and PCI internationally. moreover, groups frequently preserve their personal lists of inside “secret” assistance that must be covered. We seek advice from any information it is subject to regulatory compliance and entry restrictions as sensitive. To control sensitive data, companies ought to first catalog it (i.e., find out where it is saved) and then give protection to it, through either limiting entry or covering the records.

    historically, safety directors needed to manually offer protection to each and every box. as an instance, if a database had a desk with a column that contained Social protection numbers (SSNs), the administrator had to figure that out and manually create a rule that allowed entry to that container most effective to licensed users. If for some cause users began inserting SSNs in a special box (say, the Notes container), that box would stay unprotected except somebody seen it and created a brand new rule to offer protection to it. instead, contemporary safety techniques equivalent to Apache Ranger and Cloudera Sentry rely on what’s called tag-primarily based protection. rather than defining facts entry and records overlaying policies for selected facts sets and fields, these programs define policies for specific tags and then practice these guidelines to any data units or fields with these tags.

    automatic and guide vetting

    without an automatic strategy to sensitive information management, new information units ingested into the records lake can not be launched to be used until a human has reviewed them and discovered whether they comprise the rest sensitive. To force this technique, some companies have tried making a “quarantine zone” the place all new records units go and dwell except they’ve been manually reviewed and blessed for popular use. besides the fact that children the quarantine zone method makes experience, these businesses record massive backups in working their method via quarantined data units. this is because the method is time- consuming and blunder inclined—an issue that’s frequently exacerbated via an absence of price range for doing this type of work, as a result of lots of the facts units don't seem to be immediately being used for any tasks. This forget, sadly, leads to a vicious circle. considering the fact that the data in the quarantine zone don't seem to be obtainable to any one, they aren't findable and can't be used by the analysts, nor can the analysts affect the order of curation.

    A much more dependent solution will also be completed by using computerized sensitive information detection. data units within the quarantine zone can also be instantly scanned through the cataloging application and automatically tagged with the category of delicate information that they comprise. Tag-based safety can then be utilized to immediately hinder entry to those files or de-establish delicate statistics.

    As an additional precaution, instead of creating the information units instantly available, manual vetting may also be executed on demand. this sort of gadget applies computerized tagging and provides the metadata for the records units to the catalog to make the information units findable.

    once an analyst finds a data set that they would like to use, this information set is manually curated to verify the correctness of the tags, and any delicate records may also be de-identified. this manner, while the entire information units are findable and accessible, the confined supplies of the facts steward community doing curation are spent on useful data and funded initiatives.

    eventually, as statistics units are provisioned, information sovereignty legal guidelines and other laws can also be respected. for instance, if an analyst in the UK asks for entry to German information, instead of delivery the records over to the united kingdom, they can be granted permission to entry the local German information lake.

    register for the free insideBIGDATA e-newsletter.


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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

    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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    Big Data Becomes Architecture in This CNC-Milled Screen Wall for IBM | killexams.com real questions and Pass4sure dumps

    Big Data Becomes Architecture in This CNC-Milled Screen 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 in part to recent debates on how big data will affect our built environments, Synthesis Design + Architecture have teamed up with IBM Watson Analytics to design an interior feature wall for the Watson Experience Center in San Francisco. The project, named Data Moiré after the dizzying patterns created by overlapping sets of lines, uses data from the influence of mobile phones on monthly consumer spending to create a precise screen material 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 + Architecture

    The data-driven patterns on the surface of the wall are a result of parametric modeling based on Watson's own data analysis, thus not only forming a part of the showroom but actively showing off the capabilities of the system itself. The generative design was CNC milled onto two sheets of aluminum, which together create an intricate screen of information that is lit from between the two layers.

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

    On its own, the installation is a standout advertisement for IBM's showroom. Without any explanation, the design gives little indication that it represents a massive data set. But in the presence of a knowledgeable guide, the full narrative of the space as the materialization of an abstract set of data provides new meaning. "While the project is driven by data, the legibility of that data is abstract rather than literal," explains Synthesis Design + Architecture in a press release. "Rather than provide a statistical or analytical reading of the data, the project instead provides a spatial and atmospheric reading that enhances the experience of visitors to the center and encourages them to engage spatially."

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

    Data Moiré's gentle spiral shape allows visitors to become immersed in a tangible thing that, due to the baffling scale of the data it represents, would be impossible to grasp otherwise. That it required a supercomputer to make enough sense of the data for it to materialize in the form of aluminum screens opens an entire discussion about the role of the human in the sea of information we create every day. 

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

    Architects: Synthesis Design + ArchitectureLocation: San Francisco, USAClient: IBM WatsonStatus: Completed 2016Program​: Feature WallArea: 35 sfDesign Team: Alvin Huang (Principal), Mo Harmon, Farnoosh RafaieCollaborators: IBM Watson Analytics (data analysis), Arktura LLC - Los Angeles (fabrication), Gensler - San Francisco (interiors)

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    Synthesis Design + Architecture translates data into an expressive, CNC-milled wall for IBM Watson | killexams.com real questions and Pass4sure dumps

    Los Angeles–based Synthesis Design + Architecture (SDA) recently completed work on a 1,100-square-foot sheath for the IBM Watson Experience Center immersion room in San Francisco. The interpretive wrapper—fabricated by Arktura in Los Angeles and executed in conjunction with an overall interior design by Gensler’s San Francisco office—is designed to express data visualizations generated by IBM Watson’s computing powers while also concealing the 350-square-foot sales space from view.

    For the project, the design team interpreted and translated data maps depicting the volume of digital sales on mobile devices between 2013 and 2015 in order to derive an expressive moiré-patterned cocoon made out of dual-layered, curvilinear CNC-milled aluminum plates. The plates, backed by bright white lights, can be read by Watson Center docents in order to express a so-called “data narrative” in which Big Data—data sets so complex or vast that conventional data processing can’t process them—plays the titular role charting the growing influence of mobile-based sales.

    Describing the project, Alvin Huang, principal at SDA, said, “The kinetic moiré effect that is produced as visitors move around the immersion room breathes some life into the static pattern, which speaks to the fact that data is live and constantly changing—even though the installation itself is static.”IBM Watson Experience Center 505 Howard StreetSan FranciscoTel: (800) 426-4968Architects: Synthesis Design + Architecture; Gensler



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



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