The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data
- 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.
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
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