The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleanin Review

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The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleanin ReviewIn this book Ralph lays down a framework for constructing the DW ETL. This is useful not just in constructing quality ETL processes, but also because Ralph's works tend to 'set' standards in data warehousing. The format of this book is similar to the Lifecycle Toolkit. Ralph takes a very staged, logical approach to the material. Some sections are just great e.g. the chapters on Extraction and Development. A small amount of the material is repeated from the Lifecycle Toolkit and Dimensional Modeling books, but no more than is needed to make this book stand on its own.
Also like the other books, this one takes a vendor agnostic approach. While this may increase the shelf-life of the book, I would have appreciated some comparisons between the major vendors out there today.
Overall: I recommend this one as a buy, even if you have Ralph's other books.
The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleanin Overview
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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