Published on 31 July 2015
ISBN-10: 0738440833
ISBN-13: 9780738440835
IBM Form #: SG24-8064-01
Authors: Dmitriy Beryoza, MaryAlice Campbell, Cesar Cardorelle, Tod Creasey, David Cushing, Vlaunir Da Silva, Sean David, Avery Hagleitner, Ian Henderson, Daniel Howell, Igor Kozine, Paul Prieto, Paul Thompson, Jose Vazquez and Ying Zhang
IBM® Cognos® Business Intelligence (BI) provides a proven enterprise BI platform with an open data strategy. Cognos BI provides customers with the ability to use data from any source, package it into a business model, and make it available to consumers in various interfaces that are tailored to the task.
IBM Cognos Dynamic Cubes complements the existing Cognos BI capabilities and continues the tradition of an open data model. It focuses on extending the scalability of the IBM Cognos platform to enable speed-of-thought analytics over terabytes of enterprise data, without having to invest in a new data warehouse appliance. This capability adds a new level of query intelligence so you can unleash the power of your enterprise data warehouse.
This IBM Redbooks® publication addresses IBM Cognos Business Intelligence V10.2.2 and specifically, the IBM Cognos Dynamic Cubes capabilities. This book can help you in the following ways:
This book uses fictional business scenarios to demonstrate the power and capabilities of IBM Cognos Dynamic Cubes. It primarily focuses on the roles of the modeler, administrator, and IT architect.
Chapter 1. Overview of Cognos Dynamic Cubes
Chapter 2. IBM Cognos Dynamic Cubes architecture
Chapter 3. Installation and configuration of IBM Cognos Cube Designer and IBM Cognos Dynamic Query Analyzer
Chapter 4. Modeling with IBM Cognos Cube Designer
Chapter 5. Basic modeling
Chapter 6. Advanced topics in modeling
Chapter 7. Administering dynamic cubes
Chapter 8. Virtual cubes
Chapter 9. Dimensional security
Chapter 10. Securing the IBM Cognos BI environment
Chapter 11. Optimization and performance tuning
Chapter 12. Near real-time updates
Chapter 13. Dynamic cube lifecycle
Chapter 14. Troubleshooting
Chapter 15. Query service memory monitoring
Chapter 16. Using Framework Manager models
Chapter 17. Hardware sizing
Chapter 18. Dynamic cubes in a multi-dispatcher environment