Implementing an IBM InfoSphere BigInsights Cluster using Linux on Power

An IBM Redbooks publication

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Published on June 16, 2015

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ISBN-10: 0738440744
ISBN-13: 9780738440743
IBM Form #: SG24-8248-00


Authors: Dino Quintero, Esteban Arias Navarro, Pablo Barquero Garro, Rodrigo Ceron Ferreira de Castro, Luis Carlos Cruz Huertas, Peng Jiang, Franz Friedrich Liebinger Portela, Peter McCullagh, Ichsan Mulia Permata, Joanna Wong and John Wright

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    Abstract

    This IBM® Redbooks® publication demonstrates and documents how to implement and manage an IBM PowerLinux™ cluster for big data focusing on hardware management, operating systems provisioning, application provisioning, cluster readiness check, hardware, operating system, IBM InfoSphere® BigInsights™, IBM Platform Symphony®, IBM Spectrum™ Scale (formerly IBM GPFS™), applications monitoring, and performance tuning. This publication shows that IBM PowerLinux clustering solutions (hardware and software) deliver significant value to clients that need cost-effective, highly scalable, and robust solutions for big data and analytics workloads.

    This book documents and addresses topics on how to use IBM Platform Cluster Manager to manage PowerLinux BigData data clusters through IBM InfoSphere BigInsights, Spectrum Scale, and Platform Symphony. This book documents how to set up and manage a big data cluster on PowerLinux servers to customize application and programming solutions, and to tune applications to use IBM hardware architectures. This document uses the architectural technologies and the software solutions that are available from IBM to help solve challenging technical and business problems.

    This book is targeted at technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering cost-effective Linux on IBM Power Systems™ solutions that help uncover insights among client's data so they can act to optimize business results, product development, and scientific discoveries.

    Table of Contents

    Chapter 1. Introduction to the solution

    Chapter 2. Reference architecture

    Chapter 3. Installation

    Chapter 4. Design considerations

    Chapter 5. Solution customization

    Chapter 6. Cluster management

    Chapter 7. Tuning

    Appendix A. Integration and configuration for IBM Spectrum Scale, Hadoop, and IBM Platform Symphony

    Appendix B. Scripts

    Appendix C. BigData Enablement and Administration Toolkit introduction

     

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