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Implementing an InfoSphere Optim Data Growth Solution

An IBM Redbooks publication


Published on 09 November 2011

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ISBN-10: 0738436135
ISBN-13: 9780738436135
IBM Form #: SG24-7936-00

Authors: Whei-Jen Chen, David Alley, Barbara Brown, Sunil Dravida, Saunnie Dunne, Tom Forlenza, Pamela S Hoffman, Tejinder S Luthra, Rajat Tiwary and Claudio Zancani

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    Today, organizations face tremendous challenges with data explosion and information governance. InfoSphere™ Optim™ solutions solve the data growth problem at the source by managing the enterprise application data. The Optim Data Growth solutions are consistent, scalable solutions that include comprehensive capabilities for managing enterprise application data across applications, databases, operating systems, and hardware platforms. You can align the management of your enterprise application data with your business objectives to improve application service levels, lower costs, and mitigate risk.

    In this IBM® Redbooks® publication, we describe the IBM InfoSphere Optim Data Growth solutions and a methodology that provides implementation guidance from requirements analysis through deployment and administration planning. We also discuss various implementation topics including system architecture design, sizing, scalability, security, performance, and automation.

    This book is intended to provide various systems development professionals, Data Solution Architects, Data Administrators, Modelers, Data Analysts, Data Integrators, or anyone who has to analyze or integrate data structures, a broad understanding about IBM InfoSphere Optim Data Growth solutions. By being used in conjunction with the product manuals and online help, this book provides guidance about implementing an optimal solution for managing your enterprise application data.

    Table of Contents

    Chapter 1. Introduction to IBM InfoSphere Optim

    Chapter 2. Project planning and considerations

    Chapter 3. Understanding the IBM InfoSphere Optim Data Growth solutions and software

    Chapter 4. Developing an InfoSphere Optim Data Growth Solution architecture

    Chapter 5. Sizing the Optim infrastructure

    Chapter 6. Data sources

    Chapter 7. Accessing and viewing archived data

    Chapter 8. Design and configuration

    Chapter 9. Deployment and operational considerations

    Chapter 10. Optim performance considerations

    Chapter 11. Security

    Chapter 12. Troubleshooting

    Appendix A. Data model

    Appendix B. Functions and actions access permissions by roles


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