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Home > Computers > Database Mgmt > The Data WarehouseETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data-eBook

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

Kimball, Ralph, Caserta, Joe

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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

The Data WarehouseETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data ebook adobe icon

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Title of ebook: The Data WarehouseETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data
ISBN: 9780764579233
Publisher: John Wiley & Sons, Inc.
Internet download file size: 3880 kb
Released online for download: 10-28-2004
Author of eBook: Kimball, Ralph
Author of eBook: Caserta, Joe

The Data Warehouse ETL Toolkit

Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data

Chapter One

Surrounding the Requirements

Ideally, you must start the design of your ETL system with one of the toughest challenges: surrounding the requirements. By this we mean gathering in one place all the known requirements, realities, and constraints affecting the ETL system. We'll refer to this list as the requirements, for brevity.

The requirements are mostly things you must live with and adapt your system to. Within the framework of your requirements, you will have many places where you can make your own decisions, exercise your judgment, and leverage your creativity, but the requirements are just what they are named. They are required. The first section of this chapter is intended to remind you of the relevant categories of requirements and give you a sense ... read full excerpt from The Data WarehouseETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data ebook


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