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IBM software defined infrastructure for big data analytics workloads

This IBM® Redbooks® publication documents how IBM Platform Computing, with its IBM Platform Symphony® MapReduce framework, IBM Spectrum Scale (based Upon IBM GPFS™), IBM Platform LSF®, the Advanced Service Controller for Platform Symphony are work together as an infrastructure to manage not just Had...

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Bibliographic Details
Main Author: Quintero, Dino
Format: eBook
Language:English
Published: Poughkeepsie, NY IBM Corporation, International Technical Support Organization 2015
Edition:First edition
Series:IBM redbooks
Subjects:
Data Mining / Fast
Big Data / Fast
Cloud Computing / Fast
Big Data / Http://id.loc.gov/authorities/subjects/sh2012003227
Infonuagique
Données Volumineuses
Cloud Computing / Http://id.loc.gov/authorities/subjects/sh2008004883
Electronic Data Processing / Distributed Processing / Management / Fast
Electronic Digital Computers / Workload / Management / Computer Programs
Data Mining / Http://id.loc.gov/authorities/subjects/sh97002073
Business Enterprises / Computer Networks / Fast
Ordinateurs / Charge De Travail / Gestion / Logiciels
Entreprises / Réseaux D'ordinateurs
Business Enterprises / Computer Networks / Http://id.loc.gov/authorities/subjects/sh95010396
Exploration De Données (informatique)
Electronic Data Processing / Distributed Processing / Management / Http://id.loc.gov/authorities/subjects/sh2010014266
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:This IBM® Redbooks® publication documents how IBM Platform Computing, with its IBM Platform Symphony® MapReduce framework, IBM Spectrum Scale (based Upon IBM GPFS™), IBM Platform LSF®, the Advanced Service Controller for Platform Symphony are work together as an infrastructure to manage not just Hadoop-related offerings, but many popular industry offeringsm such as Apach Spark, Storm, MongoDB, Cassandra, and so on. It describes the different ways to run Hadoop in a big data environment, and demonstrates how IBM Platform Computing solutions, such as Platform Symphony and Platform LSF with its MapReduce Accelerator, can help performance and agility to run Hadoop on distributed workload managers offered by IBM. This information is for technical professionals (consultants, technical support staff, IT architects, and IT specialists) who are responsible for delivering cost-effective cloud services and big data solutions on IBM Power Systems™ to help uncover insights among client's data so they can optimize product development and business results
Item Description:Number from resource description page: SG24-8234-00
Physical Description:1 volume illustrations
ISBN:0738440779

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