The Data Warehouse ETL Toolkit

Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loading the end product into the data warehouse Offers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality

* Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150, 000 copies
* Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process
* Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loading the end product into the data warehouse
* Offers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality

Acknowledgments. About the Authors.
Introduction.
Part I: Requirements, Realities, and Architecture.
Chapter 1: Surrounding the Requirements.
Chapter 2: ETL Data Structures.
Part II: Data Flow.
Chapter 3: Extracting.
Chapter 4: Cleaning and Conforming.
Chapter 5: Delivering Dimension Tables.
Chapter 6: Delivering Fact Tables.
Part III: Implementation and operations.
Chapter 7: Development.
Chapter 8: Operations.
Chapter 9: Metadata.
Chapter 10: Responsibilities.
Part IV: Real Time Streaming ETL Systems.
Chapter 11: Real-Time ETL Systems.
Chapter 12: Conclusions.
Index.