DW 2.0 the architecture for the next generation of data warehousing
Data Warehousing has been around for 20 years and has become part of the information technology infrastructure. Data warehousing originally grew in response to the corporate need for information--not data--and it supplies integrated, granular, and historical data to the corporation. There are many k...
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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
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Amsterdam ; Boston :
Morgan Kaufmann/Elsevier
c2008.
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| Edición: | 1st edition |
| Colección: | Morgan Kaufmann series in data management systems.
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627569806719 |
Tabla de Contenidos:
- Front cover; DW 2.0: The architecture for the next generation of data warehousing; Copyright page; Contents; Preface; Acknowledgments; About the authors; CHAPTER 1 A brief history of data warehousing and first-generation data warehouses; Data base management systems; Online applications; Personal computers and 4GL technology; The spider web environment; Evolution from the business perspective; The data warehouse environment; What is a data warehouse?; Integrating data-a painful experience; Volumes of data; A different development approach; Evolution to the DW 2.0 environment
- The business impact of the data warehouseVarious components of the data warehouse environment; ETL-extract/transform/load; ODS-operational data store; Data mart; Exploration warehouse; The evolution of data warehousing from the business perspective; Other notions about a data warehouse; The active data warehouse; The federated data warehouse approach; The star schema approach; The data mart data warehouse; Building a ""real"" data warehouse; Summary; CHAPTER 2 An introduction to DW 2.0; DW 2.0-a new paradigm; DW 2.0-from the business perspective; The life cycle of data
- Reasons for the different sectorsMetadata; Access of data; Structured data/unstructured data; Textual analytics; Blather; The issue of terminology; Specific text/general text; Metadata-a major component; Local metadata; A foundation of technology; Changing business requirements; The flow of data within DW 2.0; Volumes of data; Useful applications; DW 2.0 and referential integrity; Reporting in DW 2.0; Summary; CHAPTER 3 DW 2.0 components-about the different sectors; The Interactive Sector; The Integrated Sector; The Near Line Sector; The Archival Sector; Unstructured processing
- From the business perspectiveSummary; CHAPTER 4 Metadata in DW 2.0; Reusability of data and analysis; Metadata in DW 2.0; Active repository/passive repository; The active repository; Enterprise metadata; Metadata and the system of record; Taxonomy; Internal taxonomies/external taxonomies; Metadata in the Archival Sector; Maintaining metadata; Using metadata-an example; From the end-user perspective; Summary; CHAPTER 5 Fluidity of the DW 2.0 technology infrastructure; The technology infrastructure; Rapid business changes; The treadmill of change; Getting off the treadmill
- Reducing the length of time for IT to respondSemantically temporal, semantically static data; Semantically temporal data; Semantically stable data; Mixing semantically stable and unstable data; Separating semantically stable and unstable data; Mitigating business change; Creating snapshots of data; A historical record; Dividing data; From the end-user perspective; Summary; CHAPTER 6 Methodology and approach for DW 2.0; Spiral methodology-a summary of key features; The seven streams approach-an overview; Enterprise reference model stream; Enterprise knowledge coordination stream
- Information factory development stream
