The Data Warehouse ETL Toolkit
Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data
Wiley · Print & ebook · October 4, 2004
- 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
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- Who it’s for
- A practical guide to ETL, from scattered-source extraction to loading data into a warehouse.
- Themes
- Data warehousing, ETL and data transformation, Data quality
- Genres
- Data Warehousing, Database Administration, Business Intelligence
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Start with this bookAbout this book
- 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
Data Staging
A practical guide to ETL, from scattered-source extraction to loading data into a warehouse.
Come here for
- Extracting data from scattered sources
- Removing redundant and inaccurate data
Expect
- Guidance on building dimensional structures
- Advice on ensuring data quality
Where it sits
| Data Warehousing | 99% |
|---|---|
| Business Intelligence | 40% |
| Database Administration | 31% |
Percentages are BookFrontier’s reading of the book.
Publisher categories
- Data Warehousing
- Authors
- Ralph Kimball, Joe Caserta
- Publisher
- Wiley
- Published
- October 4, 2004
- Format
- Print & ebook
- Theme
- Data warehousing · ETL and data transformation · Data quality
- Reading lane
- Data Warehousing