Book description
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:
Understand core features of the Cognos Dynamic Cubes
capabilities of Cognos BI V10.2
Learn by example with practical scenarios by using the IBM
Cognos samples
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.
Table of contents
- Front cover
- Notices
- Preface
- Summary of changes
- 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
- 6.1 Model design considerations
- 6.2 Time dimensions and relative time
- 6.3 Slowly changing dimensions
- 6.4 Role-playing dimensions
- 6.5 Multiple fact and multiple fact grain scenarios
- 6.6 Data quality and integrity
- 6.7 Logical Modeling
- 6.8 Modeling for null values
- 6.9 Scenario dimensions
-
6.10 Troubleshooting
- 6.10.1 Double counting
- 6.10.2 Importing metadata
- 6.10.3 Publishing errors
- 6.10.4 Refreshing metadata that changed in the database
- 6.10.5 Members
- 6.10.6 Missing members
- 6.10.7 Ellipses in the project viewer tree
- 6.10.8 No Protocol message while running Cognos Cube Designer
- 6.10.9 Logging in Cognos Cube Designer
- Chapter 7. Administering dynamic cubes
- Chapter 8. Virtual cubes
-
Chapter 9. Dimensional security
- 9.1 Overview of dimensional security
- 9.2 Security model
- 9.3 Grant versus deny approaches to security
- 9.4 Visible ancestors
- 9.5 Secured padding members
- 9.6 Default members
- 9.7 Calculated members
- 9.8 Merging security views or security filters
- 9.9 Security lookup tables
- 9.10 Defining security in Cognos Cube Designer
- 9.11 Publishing and starting the cube
- 9.12 Applying security views
- 9.13 Verifying the security model
- 9.14 Transformer-style security
- Chapter 10. Securing the IBM Cognos BI environment
-
Chapter 11. Optimization and performance tuning
- 11.1 Performance implications of OLAP-style reports
- 11.2 Aggregate awareness in Cognos Dynamic Cubes
- 11.3 Overview of the Aggregate Advisor
- 11.4 In-memory aggregates
- 11.5 Database aggregates
-
11.6 Modeling in-database aggregates
- 11.6.1 Identifying in-database aggregates in the model
- 11.6.2 Identifying aggregate table scenarios
- 11.6.3 Degenerate dimensions with matching level keys
- 11.6.4 Aggregate table with matching join keys
- 11.6.5 Rollup dimensions
- 11.6.6 Parent-child dimensions
- 11.6.7 Custom aggregation
- 11.6.8 Slicers and partitioned aggregates
- 11.6.9 Other modeling considerations
- 11.6.10 Exploring the in-database aggregate definition in the samples
- 11.6.11 Automatic aggregate creation
- 11.7 Modeling user-defined in-memory aggregates
- 11.8 Cache Priming Techniques
- 11.9 Cache size effective practices
- 11.10 Scenarios for performance tuning
- Chapter 12. Near real-time updates
-
Chapter 13. Dynamic cube lifecycle
- 13.1 Overview of the dynamic cube lifecycle
- 13.2 Mechanisms for moving dynamic cubes
-
13.3 Effective practices for deploying between environments
- 13.3.1 Keep a copy of the dynamic cube project file under source control
- 13.3.2 Use consistent data source, schema, and table names in all environments
- 13.3.3 Skip the optimize step in the development environment
- 13.3.4 Use a separate database for each environment
- 13.3.5 Include complete dimensional data in development environment
- 13.3.6 Make the test system similar to the production system
-
Chapter 14. Troubleshooting
-
14.1 Common problems
- 14.1.1 Cube does not start due to logon error
- 14.1.2 Unexpected data values returned
- 14.1.3 Troubleshooting dynamic cubes aggregate matching
- 14.1.4 Incorrect numbers from in-memory aggregate
- 14.1.5 Incorrect auto summary value
- 14.1.6 Query returns empty cell for a calculated member
- 14.1.7 Cube loaded but relative time members are missing
- 14.1.8 Dispatcher global unique identifier (GUID) not found
- 14.2 IBM Cognos Dynamic Query Analyzer troubleshooting features
- 14.3 Enabling query execution tracing
- 14.4 Enabling query plan tracing
- 14.5 The query service log file
-
14.6 Enabling Cognos Dynamic Cubes logging
- 14.6.1 Query service environment variables and JVM heap size
- 14.6.2 Dynamic cube advanced settings configuration
- 14.6.3 Dynamic cube management: Start, stop
- 14.6.4 Dynamic cube hierarchy load
- 14.6.5 SQL queries statement
- 14.6.6 Dynamic cube timing
- 14.6.7 Query Performance
- 14.6.8 Virtual Cubes
- 14.6.9 Additional event groups
- 14.6.10 Inspecting cube start
- 14.7 Reviewing Cognos reports with DQA
- 14.8 Open query service log with DQA
- 14.9 IBM Support Assistant
-
14.1 Common problems
- 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
- Related publications
- Back cover
Product information
- Title: IBM Cognos Dynamic Cubes
- Author(s):
- Release date: July 2015
- Publisher(s): IBM Redbooks
- ISBN: 9780738440835
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