Preparing for DB2 near-realtime business intelligence
In this IBM Redbooks publication we discuss primary processes and various alternatives that prepare you in implementing a DB2 near-realtime business intelligence environment. We discuss architectural alternatives and include overviews of software products that you can use in an implementation. As a...
Autor Corporativo: | |
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Otros Autores: | |
Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Poughkeepsie, NY :
IBM, International Technical Support Organization
c2004.
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Edición: | 1st ed |
Colección: | IBM redbooks.
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Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627175706719 |
Tabla de Contenidos:
- Front cover
- Contents
- Notices
- Trademarks
- Preface
- Overview of redbook contents
- The team that wrote this redbook
- Become a published author
- Comments welcome
- Chapter 1. Introduction and management summary
- Business intelligence for competitive advantage
- The need for realtime BI
- Highlights and benefits
- Chapter 2. Near-realtime business intelligence
- 2.1 What is near-realtime business intelligence?
- 2.2 Processes for near-realtime BI
- 2.3 The role of business activity monitoring (BAM)
- 2.3.1 Key performance indicators
- 2.3.2 Business activity management
- 2.3.3 Getting started with BAM
- Chapter 3. Architectural considerations
- 3.1 Where are we today?
- 3.2 Data warehousing and the realtime goal
- 3.3 Technical considerations for realtime BI
- 3.3.1 Reducing IT costs
- 3.3.2 Extending the data warehouse
- 3.4 Going realtime, nearly
- 3.5 Functions for realtime data warehousing
- 3.5.1 Capture
- 3.5.2 Deliver
- 3.5.3 Transform
- 3.5.4 Apply
- 3.6 Putting it together
- Chapter 4. Products for near-realtime BI
- 4.1 Data warehousing - Base for BI
- 4.1.1 DB2 - the database of choice
- 4.2 WebSphere MQ for guaranteed data delivery
- 4.2.1 Queue clustering
- 4.2.2 DB2 MQ Listener
- 4.2.3 DB2 MQ functions
- 4.2.4 WebSphere business integration brokers
- 4.3 Information integration
- 4.3.1 DB2 Information Integrator
- 4.3.2 Data replication
- 4.3.3 Data federation
- 4.4 Data transformation
- 4.4.1 DB2 Warehouse Manager
- 4.4.2 Ascential Software
- 4.5 Workload management
- 4.5.1 DB2 Query Patroller for workload management
- 4.5.2 DB2 Governor for resource management
- Chapter 5. Planning the test environment
- 5.1 Application scenario definitions
- 5.2 Transaction definitions
- 5.3 Data models
- 5.3.1 ER model
- 5.3.2 Star model
- 5.4 Populating the data warehouse.
- 5.5 Updating the data warehouse
- 5.5.1 Using stored procedures
- 5.5.2 The query workload
- 5.6 Data delivery with WebSphere MQ
- 5.7 Replication for data transfer
- 5.8 DB2 Online Load Utility
- 5.9 Configuration variables
- 5.9.1 Commit count
- 5.9.2 Number of DB2 MQ listeners
- 5.9.3 Lock isolation level
- Chapter 6. The project environment
- 6.1 Software overview
- 6.2 Environment configuration
- 6.2.1 AIX server configuration
- 6.2.2 Client configuration
- 6.3 Testing continuous update
- 6.3.1 Test plan assumptions
- 6.3.2 Testing process
- 6.4 Test scenarios
- 6.4.1 Population options
- 6.4.2 Using queues as data sources
- 6.4.3 Using DB2 tables as data sources
- 6.4.4 Test scenarios
- 6.4.5 Test scripts for queries
- Chapter 7. Primary test scenarios
- 7.1 Scenario 1: DB2 MQ Listener
- 7.1.1 Test definition
- 7.1.2 Test-runs
- 7.1.3 Test-run results
- 7.2 Scenario 2: SQL stored procedures and DB2 tables
- 7.2.1 Test definition
- 7.2.2 Test-runs
- 7.2.3 Test-run results
- 7.3 Scenario 3: DB2 view over an MQ queue
- 7.3.1 Test definition
- 7.3.2 Test-runs
- 7.3.3 Test-run results
- Chapter 8. Secondary test scenarios
- 8.1 Scenario 4: DB2 Online Load Utility
- 8.1.1 Test definition
- 8.1.2 Test-runs
- 8.1.3 Test-run results
- 8.2 Scenario 5: The Merge statement
- 8.2.1 Test definition
- 8.2.2 Test-runs
- 8.2.3 Test-run results
- 8.3 Scenario 6: Data replication
- 8.3.1 Test definition
- 8.3.2 Test-runs
- 8.3.3 Test-run results
- Chapter 9. Conclusions and best practices
- 9.1 Conclusions
- 9.1.1 General
- 9.1.2 Test-based conclusions
- 9.2 Best practices
- 9.2.1 Select business areas
- 9.2.2 Gather requirements
- 9.2.3 Develop an architecture
- 9.2.4 Analyze and modify business processes
- 9.2.5 Develop and implement BAM
- 9.2.6 Evaluate and select products.
- 9.2.7 Enable a test realtime implementation
- 9.2.8 Best of our tests
- 9.2.9 Evaluate and modify
- 9.3 Epilog
- Appendix A. Ascential Software supports near-realtime BI
- A.1 Using the Ascential solution
- A.2 The test scenarios
- A.3 The test scenario solutions
- Appendix B. DB2 and realtime BI
- B.1 DB2 framework for BI
- B.2 Realtime analytics
- Appendix C. Scenario tests: Data models
- C.1 ER model
- C.2 Star schema
- Appendix D. WebSphere MQ and DB2 MQ Listener
- D.1 WebSphere MQ on AIX
- D.2 AMI installation
- D.3 Enable MQ functions for the DB2 database
- D.4 Create DB2 view over the MQ queue
- D.5 Create new service point using AMI tools
- D.6 DB2 MQ Listener installation
- D.7 DB2 MQ Listener configuration
- Appendix E. Stored procedures and scripts
- E.1 DB2 parameters
- E.2 General scripts
- E.3 Scenario 1: DB2 MQ Listener
- E.4 Scenario 2: SQL stored procedures and DB2 tables
- E.5 Scenario 3: DB2 View over an MQ queue
- E.6 Scenario 4: DB2 online load utility
- E.7 Scenario 5: The Merge statement
- E.8 Scenario 6: DB2 replication
- Appendix F. Supplemental tests
- F.1 Test set-up
- F.2 Message definition
- F.3 Testing process
- F.4 Test results
- F.5 Conclusions
- Abbreviations and acronyms
- Glossary
- Related publications
- IBM Redbooks
- Other publications
- Online resources
- How to get IBM Redbooks
- Help from IBM
- Index
- Back cover.