The Data Warehouse ETL Toolkit
Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data
Published on 27. April 2011
528 pages
978-1-118-07968-3 (ISBN)
Description
* Cowritten by Ralph Kimball, the world's leading datawarehousing authority, whose previous books have sold more than150,000 copies
* Delivers real-world solutions for the most time- andlabor-intensive portion of data warehousing-data staging, or theextract, transform, load (ETL) process
* Delineates best practices for extracting data from scatteredsources, removing redundant and inaccurate data, transforming theremaining data into correctly formatted data structures, and thenloading the end product into the data warehouse
* Offers proven time-saving ETL techniques, comprehensiveguidance on building dimensional structures, and crucial advice onensuring data quality
More details
Other editions
Additional editions
Ralph Kimball | Joe Caserta
The Data Warehouse ETL Toolkit
Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data
Book
09/2004
Wiley
€46.00
Shipment within 15-20 days
Persons
RALPH KIMBALL, PhD, founder of the Kimball Group, has been a leading visionary inthe data warehousing industry since 1982 and is one of today's best-known speakers and educators. He is the author of several bestselling titles published on data warehousing,including The Data Warehouse Toolkit (Wiley).
JOE CASERTA is the founder of Caserta Concepts, LLC, a data warehousing consulting firm. He writes frequently for print and online magazines, and is an active contributor to DWList, the major online community for data warehousing professionals.
Content
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.
