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Publicado: 1 de febrero de 2013
IBM ® Business Analytics
Front cover
IBM Cognos Dynamic Cubes
Discover how Cognos drives performance with flexible in-memory acceleration Learn how the Aggregate Advisor makes optimizing performance easier Maximize the value of your large data warehouse
Dmitriy Beryoza Ian Henderson Shilpa Bhimavarapu Beth Jubera Alan Blake Skyla Loomis David Cushing Chris McPherson Vlaunir Da SilvaSteven Rogers Mario Daigle Carlos Ruiz Avery Hagleitner Christopher Yao
ibm.com/redbooks
International Technical Support Organization IBM Cognos Dynamic Cubes October 2012
SG24-8064-00
Note: Before using this information and the product it supports, read the information in “Notices” on page ix.
First Edition (October 2012) This edition applies to Version 10, Release 2,Modification 0 of IBM Cognos Business Intelligence (product number 5724-W12).
© Copyright International Business Machines Corporation 2012. All rights reserved. Note to U.S. Government Users Restricted Rights -- Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp.
Contents
Notices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . ix Trademarks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .x Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xi The team who wrote this book . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . xii Now you can become a published author, too . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xv Comments welcome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xv Stay connected to IBM Redbooks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . xv Chapter 1. Overview of Cognos Dynamic Cubes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1 Introduction to IBM Cognos Dynamic Cubes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1.1 High performance interactive analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1.2 Enterprise data warehouses foranalytics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1.3 Data volumes and context in the Enterprise Data Warehouse . . . . . . . . . . . . . . . . 1.1.4 Architecture summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Skillset requirements for IBM Cognos Dynamic Cubes. . . . . . . . . . . . . . . . . . . . . . . . . . 1.2.1Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2.2 Cognos administration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2.3 Infrastructure design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 When to use Cognos Dynamic Cubes . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4 System requirements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.5 Comparison to other IBM cube technologies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 2 3 4 4 4 6 6 6 6 7 7 8
Chapter 2. IBM Cognos Dynamic Cubes architecture . . . . . .. . . . . . . . . . . . . . . . . . . . . 9 2.1 Dynamic cubes in the IBM Cognos environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2.1.1 Dynamic cubes and the data warehouse . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.1.2 Modeling dynamic cubes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.1.3 Dynamic...
Front cover
IBM Cognos Dynamic Cubes
Discover how Cognos drives performance with flexible in-memory acceleration Learn how the Aggregate Advisor makes optimizing performance easier Maximize the value of your large data warehouse
Dmitriy Beryoza Ian Henderson Shilpa Bhimavarapu Beth Jubera Alan Blake Skyla Loomis David Cushing Chris McPherson Vlaunir Da SilvaSteven Rogers Mario Daigle Carlos Ruiz Avery Hagleitner Christopher Yao
ibm.com/redbooks
International Technical Support Organization IBM Cognos Dynamic Cubes October 2012
SG24-8064-00
Note: Before using this information and the product it supports, read the information in “Notices” on page ix.
First Edition (October 2012) This edition applies to Version 10, Release 2,Modification 0 of IBM Cognos Business Intelligence (product number 5724-W12).
© Copyright International Business Machines Corporation 2012. All rights reserved. Note to U.S. Government Users Restricted Rights -- Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp.
Contents
Notices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . ix Trademarks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .x Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xi The team who wrote this book . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . xii Now you can become a published author, too . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xv Comments welcome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xv Stay connected to IBM Redbooks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . xv Chapter 1. Overview of Cognos Dynamic Cubes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1 Introduction to IBM Cognos Dynamic Cubes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1.1 High performance interactive analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1.2 Enterprise data warehouses foranalytics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1.3 Data volumes and context in the Enterprise Data Warehouse . . . . . . . . . . . . . . . . 1.1.4 Architecture summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Skillset requirements for IBM Cognos Dynamic Cubes. . . . . . . . . . . . . . . . . . . . . . . . . . 1.2.1Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2.2 Cognos administration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2.3 Infrastructure design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 When to use Cognos Dynamic Cubes . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4 System requirements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.5 Comparison to other IBM cube technologies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 2 3 4 4 4 6 6 6 6 7 7 8
Chapter 2. IBM Cognos Dynamic Cubes architecture . . . . . .. . . . . . . . . . . . . . . . . . . . . 9 2.1 Dynamic cubes in the IBM Cognos environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2.1.1 Dynamic cubes and the data warehouse . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.1.2 Modeling dynamic cubes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.1.3 Dynamic...
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