Book description
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.
Table of contents
- Front cover
- Notices
- IBM Redbooks promotions
- Preface
-
Chapter 1. Introduction to big data
- 1.1 Evolution and characteristics of big data
- 1.2 What’s in a bite
- 1.3 Is the demand for a big data solution real?
- 1.4 What is Hadoop?
- 1.5 Hadoop Distributed File System in more detail
- 1.6 MapReduce in more detail
- 1.7 The changing nature of distributed computing
- 1.8 IBM Platform Symphony grid manager
- Chapter 2. Big data, analytics, and risk calculation software portfolio
-
Chapter 3. IBM Platform Symphony with Application Service Controller
- 3.1 Introduction to IBM Platform Symphony v7.1
- 3.2 How it operates
- 3.3 IBM Platform Symphony for multitenant designs
- 3.4 Platform Symphony concepts
- 3.5 Benefits of using Platform Symphony
- 3.6 Product edition highlights
- 3.7 Optional applications to extend Platform Symphony capabilities
- 3.8 Overview of the Application Service Controller add-on
- 3.9 Platform Symphony application implementation
- 3.10 Application Service Controller in a big data solution
- 3.11 Application Service Controller as the attachment for a cloud-native framework: Cassandra
- 3.12 Summary
-
Chapter 4. Mixed IBM Power Systems and Intel environment for big data
- 4.1 System components and default settings in the test environment
- 4.2 Supported system configurations
- 4.3 IBM Platform Symphony installation steps
- 4.4 Compiling and installing Hadoop 1.1.1 for IBM PowerPC
- 4.5 IBM Spectrum Scale installation and configuration
- 4.6 Hadoop configuration
- 4.7 MapReduce test with Hadoop Wordcount in IBM Platform Symphony 7.1
- Chapter 5. IBM Spectrum Scale for big data environments
- Chapter 6. IBM Application Service Controller in a mixed environment
-
Chapter 7. IBM Platform Computing cloud services
- 7.1 IBM Platform Computing cloud services
- 7.2 Cloud services architecture
- 7.3 IBM Spectrum Scale high-performance services
- 7.4 IBM Platform Symphony services
- 7.5 IBM High Performance Services for Hadoop
- 7.6 IBM Platform LSF services
- 7.7 Hybrid Platform LSF on-premises with a cloud service
- 7.8 Data management on hybrid clouds
- Related publications
- Back cover
Product information
- Title: IBM Software Defined Infrastructure for Big Data Analytics Workloads
- Author(s):
- Release date: June 2015
- Publisher(s): IBM Redbooks
- ISBN: 9780738440774
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