Book description
This IBM® Redbooks® publication is intended for business leaders and IT architects who are responsible for building and extending their data warehouse and Business Intelligence infrastructure. It provides an overview of powerful new capabilities of Information Server in the areas of big data, statistical models, data governance and data quality. The book also provides key technical details that IT professionals can use in solution planning, design, and implementation.
Table of contents
- Front cover
- Notices
- Preface
- Part 1 Overview and concepts
-
Chapter 1. Overview of IBM InfoSphere Information Server
- 1.1 Packaged Editions
-
1.2 Information Server Components
- 1.2.1 InfoSphere Blueprint Director
- 1.2.2 InfoSphere Discovery
- 1.2.3 InfoSphere Metadata Workbench
- 1.2.4 InfoSphere Data Architect and IBM Industry Data Models
- 1.2.5 InfoSphere Business Glossary
- 1.2.6 InfoSphere QualityStage
- 1.2.7 InfoSphere Information Analyzer
- 1.2.8 InfoSphere Data Quality Console
- 1.2.9 InfoSphere Information Services Director
- 1.2.10 InfoSphere FastTrack
- 1.2.11 InfoSphere DataStage
- 1.2.12 InfoSphere DataStage Balanced Optimization
- 1.2.13 InfoSphere Change Data Delivery
- 1.2.14 InfoSphere Data Click
- Chapter 2. Using Information Server to design and implement a Data Warehouse
- Part 2 Meeting the increasing demands of workloads, users, and the business
- Chapter 3. Data Click: Self-Service Data Integration
- Chapter 4. Incorporating new sources: Hadoop and big data
- Chapter 5. SPSS: Incorporating Analytical Models into your warehouse environment
- Chapter 6. Governance of data warehouse information
-
Chapter 7. Establishing trust by ensuring quality
- 7.1 Moving to trusted information
- 7.2 Mission of information quality
- 7.3 Understanding information quality
-
7.4 Validating data with rules for information quality
- 7.4.1 Incorporating business value and objectives
- 7.4.2 Defining the primary requirements
- 7.4.3 Designing the data rules
- 7.4.4 Example of data rule analysis
- 7.4.5 Setting priorities and refining conditions
- 7.4.6 Types of Data Rules
- 7.4.7 Examples of rules
- 7.4.8 Considerations in Data Rule design
- 7.4.9 Breaking requirements into building blocks for Data Rules
- 7.4.10 Evaluating Data Rule results
- 7.5 Measuring and monitoring information quality
-
7.6 Information Quality Management
- 7.6.1 Lifecycle and deploying Data Rules
- 7.6.2 Publishing data rules for reuse
- 7.6.3 Deploying data rules to production
- 7.6.4 Running Data Rules in production
- 7.6.5 Delivering and managing data quality results
- 7.6.6 Developing Information Quality reports
- 7.6.7 Retaining and archiving old results
- 7.6.8 Improving ongoing processes
- 7.7 Conclusion
- Chapter 8. Data standardization and matching
- Related publications
- Back cover
Product information
- Title: IBM Information Server: Integration and Governance for Emerging Data Warehouse Demands
- Author(s):
- Release date: July 2013
- Publisher(s): IBM Redbooks
- ISBN: None
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