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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 hub 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 hasten of smooth – 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 route of greater than 2,000 scientists each and every yr to assess the internal constitution of a all 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 jog 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 they effect not necessity just one detector, but 14 beamlines equipped with many detectors, and they're presently being prolonged to 24. all this great information ought to breathe kept and dealt with reliably."
DESY is addressing this great 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 tender 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 purchase the suffer 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 uphold DESY and a couple of overseas partners which are at the second building the X-ray laser European XFEL, a analysis gentle supply that will generate much more statistics. "We forecast 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 hub 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 employ the tremendous-scale amenities at DESY to ascertain 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 efficacious 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 inspirit 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. supervene us on Twitter @ibmstorage
Chaiti Sen IBM Media relations (1) (213) 633-8154 firstname.lastname@example.org
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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 pains the agencies can employ to build a typical enterprise deployment model that is designed to enable great statistics workloads to race in a hybrid method across on-premises, multi-cloud and region architectures.
Hortonworks emblem. (PRNewsFoto/Hortonworks)greater
as the initial section of the initiative, the organizations arrangement to travail collectively to optimize Hortonworks information Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud private for statistics for employ on RedHat OpenShift, an industry-leading commercial enterprise container and Kubernetes utility platform. this can permit clients to further 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 travail 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 resolve 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. coincident 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:
"Kubernetes is the de facto container orchestration device and they own been working during this ecosystem on account that the challenge's infancy to uphold execute 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 own selected crimson Hat OpenShift because the depended on Kubernetes platform for stupendous statistics workloads," talked about Ashesh Badani, vp and chummy supervisor, Cloud systems, crimson Hat. "by building and managing their purposes by route of containers and Kubernetes with OpenShift, shoppers and the great records ecosystem own 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 travail that pink Hat, IBM and Hortonworks are doing to modernize commercial enterprise stupendous statistics workloads via containerization is geared toward helping customers to purchase competencies of the agility, economics and scale of a hybrid facts architecture," illustrious 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 commerce 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, more than eighty percent of respondents spoke of they arrangement to current 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 lone public cloud provider had been not realized.
"As these dynamics proceed, they may travail to sluggish innovation and impede groups' development to commerce 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 breathe 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 nature 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 sheperd 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, gladden consult with www.hortonworks.com.
Hortonworks' ahead-searching Statements This press free up may hold "forward-looking statements" in the which means of section 27A of the Securities Act of 1933, as amended, and fraction 21E of the Securities change Act of 1934, as amended.
forward-looking statements provide current expectations of future activities in keeping with obvious 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 their expectations, dreams or intentions involving their choices, know-how, partnerships, actions, future efficiency, their adoption of or involvement with others' offerings, and others' adoption of or involvement with their offerings. forward-searching statements are region 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 display flawed, their effects could fluctuate materially from the outcomes expressed or implied by using the ahead-searching statements they make. assistance on components that could own an effect on their monetary outcomes and the ahead-looking statements during this press free up are blanketed in their 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 they execute 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 employ 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 set together consumers for the future of IT. gain scholarship of more at http://www.redhat.com.
crimson Hat's forward-searching Statements obvious statements contained during this press liberate can likewise 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 comprise 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; doubt 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 faculty to fulfill fiscal and operational challenges encountered in their alien operations; and ineffective management of, and exploit over, crimson Hat's extend and alien operations, as well as other elements contained in pink Hat's most fresh Quarterly file on kind 10-Q (copies of which could breathe accessed during the Securities and alternate commission's website at http://www.sec.gov), together with these organize 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 likewise vary materially as a result of greater universal factors together with (without hindrance) accepted industry and market circumstances and extend rates, economic and political circumstances, governmental and public policy alterations and the own 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 likewise proceed 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 breathe 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.
Michelle Lazzar, Hortonworkscomms@hortonworks.com(408) 884-9861
 IDC, Cloud Repatriation speeds up in a Multicloud World, doc #US44185818, August 2018
View common content to down load multimedia:http://www.prnewswire.com/information-releases/hortonworks-ibm-crimson-hat-collaborate-to-assist-speed up-containerized-large-facts-workloads-for-hybrid-architectures-300709451.html
under gladden locate an excerpt from a brand new title, O’Reilly Media’s The commercial enterprise massive information Lake: providing the plight of stupendous information and information Science, a new free up in the records Warehousing category by Alex Gorelik.
The commerce 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 route to architect, set 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 likewise details employ 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 great 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 incredible concerns of facts governance groups is a route to exploit choice information. There are numerous trade-selected and country-particular laws that govern usage and protection of private or choice 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 breathe covered. They seek advice from any information it is topic 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 tender protection to each and every box. as an instance, if a database had a desk with a column that contained convivial protection numbers (SSNs), the administrator had to design that out and manually create a rule that allowed entry to that container most efficacious to licensed users. If for some cause users began inserting SSNs in a special box (say, the Notes container), that box would linger unprotected except somebody seen it and created a brand new rule to tender protection to it. instead, coincident safety techniques equivalent to Apache Ranger and Cloudera Sentry trust 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 drill these guidelines to any data units or fields with these tags.
automatic and sheperd vetting
without an automatic strategy to sensitive information management, new information units ingested into the records lake can not breathe launched to breathe used until a human has reviewed them and discovered whether they comprise the comfort sensitive. To constrain this technique, some companies own tried making a “quarantine zone” the region all new records units proceed and dwell except they’ve been manually reviewed and blessed for well-liked 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 flounder inclined—an issue that’s frequently exacerbated via an absence of price purview for doing this nature of work, as a result of lots of the facts units don't look to breathe 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 look to breathe obtainable to any one, they aren't findable and can't breathe used by the analysts, nor can the analysts impress the order of curation.
A much more topic solution will likewise breathe completed by using computerized sensitive information detection. data units within the quarantine zone can likewise breathe instantly scanned through the cataloging application and automatically tagged with the category of choice information that they comprise. Tag-based safety can then breathe utilized to immediately impede entry to those files or de-establish choice statistics.
As an additional precaution, instead of creating the information units instantly available, manual vetting may likewise breathe executed on demand. this sort of gadget applies computerized tagging and provides the metadata for the records units to the catalog to execute the information units findable.
once an analyst finds a data set that they would fancy to use, this information set is manually curated to verify the correctness of the tags, and any choice records may likewise breathe 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 likewise breathe 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 breathe granted permission to entry the local German information lake.
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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 pains the companies can employ to build a common enterprise deployment model that is designed to enable stupendous data workloads to race in a hybrid manner across on-premises, multi-cloud and edge architectures.
Hortonworks logo. (PRNewsFoto/Hortonworks)More
As the initial aspect of the initiative, the companies arrangement to travail together to optimize Hortonworks Data Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud Private for Data for employ on RedHat OpenShift, an industry-leading enterprise container and Kubernetes application platform. This can enable users to develop and deploy containerized stupendous 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 travail to integrate key services offered through Hortonworks DataPlane with IBM Cloud Private for Data.
Enterprises are undergoing massive commerce model transformations, powered by the faculty to process and resolve new types and tremendous amounts of data. As a result, many are stirring to hybrid cloud environments that leverage lightweight microservices in the most efficient manner possible.
Hortonworks and IBM previously announced a collaboration to assist businesses accelerate data-driven decision-making. Today's word builds upon that foundation with the intent to bring stupendous 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:
"Kubernetes is the de facto container orchestration system and they own been working in this ecosystem since the project's infancy to assist execute it ready for all, and especially the enterprise in Red Hat OpenShift. Today they are thrilled that Hortonworks and IBM Cloud Private's data portfolio own selected Red Hat OpenShift as the trusted Kubernetes platform for stupendous data workloads," said Ashesh Badani, vice president and universal manager, Cloud Platforms, Red Hat. "By building and managing their applications via containers and Kubernetes with OpenShift, customers and the stupendous data ecosystem own opportunities to bring this next generation of stupendous data workloads to the hybrid cloud and deliver the benefits of an agile, efficient, reliable, multi-cloud infrastructure."
"The travail that Red Hat, IBM and Hortonworks are doing to modernize enterprise stupendous data workloads via containerization is aimed at helping customers to purchase handicap 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 commerce model transformation."
In addition to competitive and data challenges, organizations are likewise 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, more than 80 percent of respondents said they arrangement to jog 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 lone public cloud provider were not realized.
"As these dynamics continue, they'll travail to behind innovation and impede companies' progression to enterprise AI," said Rob Thomas, universal 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 nature 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 uphold 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, gladden visit www.hortonworks.com.
Hortonworks' Forward-Looking Statements This press release may hold "forward-looking statements" within the acceptation 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 comprise any statement that does not directly relate to any historical or current fact. They may comprise (without limitation) information regarding their expectations, goals or intentions regarding their offerings, technology, partnerships, activities, future performance, their adoption of or involvement with others' offerings, and others' adoption of or involvement with their offerings. Forward-looking statements are topic 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, their results could differ materially from the results expressed or implied by the forward-looking statements they make. Information on factors that could impress their monetary results and the forward-looking statements in this press release are included in their configuration 10-K filed on March 15, 2018, our Quarterly Report on configuration 10-Q for the quarter ended June 30, 2018 filed on August 9, 2018, or in other filings they execute 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 effect 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 dependable and high-performing cloud, Linux, middleware, storage and virtualization technologies. Red Hat likewise 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 acceptation of the Private Securities Litigation Reform Act of 1995. Forward-looking statements provide current expectations of future events based on certain assumptions and comprise 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 primary factors, including: risks related to the faculty of Red Hat to compete effectively; the faculty 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 faculty 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; doubt 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 faculty to meet monetary and operational challenges encountered in their 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 configuration 10-Q (copies of which may breathe accessed through the Securities and Exchange Commission's website at http://www.sec.gov), including those organize therein under the captions "Risk Factors" and "Management's Discussion and Analysis of monetary Condition and Results of Operations". In addition to these factors, actual future performance, outcomes, and results may differ materially because of more universal factors including (without limitation) universal 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 limn 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 duty to effect so. These forward-looking statements should not breathe 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.
Michelle Lazzar, Hortonworkscomms@hortonworks.com(408) 884-9861
 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 IBMCourtesy of Synthesis Design + Architecture
Responding in fraction to recent debates on how stupendous data will impress their built environments, Synthesis Design + Architecture own teamed up with IBM Watson Analytics to design an interior feature wall for the Watson suffer hub 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.
+ 31Courtesy 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 fraction 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
On its own, the installation is a standout advertisement for IBM's showroom. Without any explanation, the design gives tiny 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 suffer of visitors to the center and encourages them to engage spatially."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 breathe impossible to grasp otherwise. That it required a supercomputer to execute enough sense of the data for it to materialize in the configuration of aluminum screens opens an entire discussion about the role of the human in the sea of information they create every day.© Arktura LLC 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)Did you know?
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Los Angeles–based Synthesis Design + Architecture (SDA) recently completed travail on a 1,100-square-foot sheath for the IBM Watson suffer hub immersion elbowroom 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 likewise 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 significant moiré-patterned cocoon made out of dual-layered, curvilinear CNC-milled aluminum plates. The plates, backed by shining white lights, can breathe read by Watson hub docents in order to express a so-called “data narrative” in which stupendous 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 jog around the immersion elbowroom 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 suffer hub 505 Howard StreetSan FranciscoTel: (800) 426-4968Architects: Synthesis Design + Architecture; Gensler
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