IBM Software Defined Infrastructure for Big Data Analytics Workloads is popular PDF and ePub book, written by Dino Quintero in 2015-06-29, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, IBM Software Defined Infrastructure for Big Data Analytics Workloads can be Read Online from any device for your convenience.

IBM Software Defined Infrastructure for Big Data Analytics Workloads Book PDF Summary

This IBM® Redbooks® publication documents how IBM Platform Computing, with its IBM Platform Symphony® MapReduce framework, IBM Spectrum Scale (based Upon IBM GPFSTM), 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 SystemsTM to help uncover insights among client's data so they can optimize product development and business results.

Detail Book of IBM Software Defined Infrastructure for Big Data Analytics Workloads PDF

IBM Software Defined Infrastructure for Big Data Analytics Workloads
  • Author : Dino Quintero
  • Release : 29 June 2015
  • Publisher : IBM Redbooks
  • ISBN : 9780738440774
  • Genre : Computers
  • Total Page : 180 pages
  • Language : English
  • PDF File Size : 15,5 Mb

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