PPT-NIST Big Data Public Working Group
Author : ellena-manuel | Published Date : 2015-11-18
Technology Roadmap Subgroup Presentation September 30 2013 Carl Buffington Vistronix David Boyd Data Tactic Dan McClary Oracle Overview Goals and Objectives
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NIST Big Data Public Working Group: Transcript
Technology Roadmap Subgroup Presentation September 30 2013 Carl Buffington Vistronix David Boyd Data Tactic Dan McClary Oracle Overview Goals and Objectives Charter Culmination of Subgroups. x and 5x and Apache Spark x Oracle Enterprise Manager combined with Cloudera Manage r simplifies management of the entire Big Data Appliance x Advanced analytics with Oracle R directly interacting with data stored in HDFS x Handle low latency unstru Definition and Taxonomy Subgroup Presentation. September 30, 2013. Nancy Grady, SAIC . Natasha . Balac, SDSC. Eugene Lister, R2AD. Overview. Objectives. Approach. Big Data Component Definitions. Data Science Component Definitions. NIST . Bird’s eye view. Courtesy HDR Architecture, Inc./Steve Hall © . Hedrich. Blessing. G. Wheeler. The National Institute of Standards and Technology (NIST) is where Nobel Prize-winning science meets real-world engineering.. Architecture and Ogres. International Workshop on Extreme Scale Scientific Computing (Big Data and Extreme Computing (BDEC. )). Fukuoka Japan February 27 2014. 3. Geoffrey Fox . Judy Qiu. Shantenu. . Distraction?. Mark Birkin. Professor of Spatial Analysis and Policy,. School of Geography, University of Leeds. Director, ESRC Consumer Data Research Centre. Director, Leeds Institute for Data Analytics. Sixth International Workshop on Cloud Data . Management. CloudDB. 2014. Chicago March 31 2014. Geoffrey . Fox . gcf@indiana.edu. . . http://www.infomall.org. School of Informatics and Computing. Big Data PWG Overview Presentation. September . 30. , . 2013. Wo Chang, NIST . Robert Marcus, ET-Strategies. Chaitanya Baru, UC San Diego. Agenda. Why Big Data? Why NIST?. NBD-PWG Charter. Overall Workplan. Intermediate Report. Co-chairs:. Orit . Levin (. Microsoft). James . Ketner. (. AT&T). Don . Krapohl (Augmented Intelligence. ). July 24th, 2013. Reference Architecture . Objectives. Addresses a broad range of s. data. consists of . advanced. techniques that harness . independent. resources for building . scalable. data systems when the characteristics of the datasets require new architectures for efficient storage, manipulation, and analysis.. 1. NIST Big Data . Program . Alignment: Roadmap & Reference . Architecture. . Version . 1.3. . . Roadmap Subgroup. NIST Big Data Working Group (NBD-WG). September 13, . 2013. 8/15/2013. NIST Big Data WG / Ref Arch Subgroup. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand H2K Infosys offers an online course on Hadoop and big data that equips learners with the skills and knowledge necessary to excel in this dynamic field.
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