Architecting and Deploying DB2 with BLU Acceleration

An IBM Redbooks publication

DB2 BLU Acceleration shadow tables


IBM® DB2® with BLU Acceleration is a revolutionary technology that is delivered in DB2 for Linux, UNIX, and Windows Release 10.5. BLU Acceleration delivers breakthrough performance improvements for analytic queries by using dynamic in-memory columnar technologies. Different from other vendor solutions, BLU Acceleration allows the unified computing of OLTP and analytics data inside a single database, therefore, removing barriers and accelerating results for users. With observed hundredfold improvement in query response time, BLU Acceleration provides a simple, fast, and easy-to-use solution for the needs of today's organizations; quick access to business answers can be used to gain a competitive edge, lower costs, and more.

This IBM Redbooks® publication introduces the concepts of DB2 with BLU Acceleration. It discusses the steps to move from a relational database to using BLU Acceleration, optimizing BLU usage, and deploying BLU into existing analytic solutions today, with an example of IBM Cognos®.

This book also describes integration of DB2 with BLU Acceleration into SAP Business Warehouse (SAP BW) and SAP's near-line storage solution on DB2. This publication is intended to be helpful to a wide-ranging audience, including those readers who want to understand the technologies and those who have planning, deployment, and support responsibilities.

Table of contents

Chapter 1. Introducing DB2 BLU Acceleration
Chapter 2. Planning and deployment of BLU Acceleration
Chapter 3. Planning and deployment of BLU Acceleration shadow tables for mixed workload environments
Chapter 4. Optim Query Workload Tuner and BLU Acceleration
Chapter 5. Performance test with a Cognos BI example
Chapter 6. Post-deployment of DB2 with BLU Acceleration
Chapter 7. Oracle compatibility for BLU Acceleration
Chapter 8. DB2 with BLU Acceleration and SAP integration
Appendix A. BLU Acceleration monitor elements


Publish Date
13 October 2014

Last Update
11 May 2015

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