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

by Ralph Kimball, Joe Caserta

Business Technology Computer Science Data Management
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The Data Warehouse ETL Toolkit presents practical techniques for extracting, cleaning, conforming, and delivering data. Designed around the core tasks of data warehouse ETL, it provides a focused resource for understanding how information is prepared and moved from source systems into useful, consistent warehouse structures.

About This Book

The Data Warehouse ETL Toolkit focuses on the practical work involved in moving data into a data warehouse.

It covers techniques for extracting data from source systems, cleaning inconsistencies, and preparing information for analysis.

The book also addresses conforming data so that information can be organized consistently across sources and business contexts.

Its scope extends through the delivery of data, offering a focused reference for readers working with data warehouse processes.

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I will be using this book for: