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

Auteur

RALPH KIMBALL, PhD, founder of the Kimball Group, has been a leading visionary in
the 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.

Résumé

• 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

Contenu
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.