* 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
Customer Reviews:
Avg. Customer Rating: 5.0 / 5.0
Another Kimball Toolkit:
In my estimation The Data Warehouse ETL Toolkit is a good source of information for the topic that covers the majority of your Data Warehouse efforts, the ETL process (or ECCD if you prefer, which you probably will after finishing this volume). I took away some good ideas on items that I probably would not have considered, mostly due to my own ignorance, relating to Meta Data, QA and Error Corrections, Data Lineage and Scoring, etc. The Authors (Kimball and Caserta) do a good job of pointing out other... more info
The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning:
The book was mailed well within time mentioned by seller and is a new book.
ETL Toolkit:
A great basic tool book for datawarehousing and ETL. I've purchased for my teams here and in India.
Good for anyone who wants to Learn ETL:
This book gives practical guidelines to follow through the ETL cycle, it does not matter if you are using an Industry Standard ETL tool or writing your own ETL process from scratch, this book will be useful for both. I found it very useful. Definitely worth a read for anyone who is new to ETL.
