{"product_id":"the-data-warehouse-etl-toolkit-isbn-9780764567575","title":"The Data Warehouse ETL Toolkit","description":"\u003cul\u003e \u003cli\u003eCowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies\u003c\/li\u003e \u003cli\u003eDelivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process\u003c\/li\u003e \u003cli\u003eDelineates 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\u003c\/li\u003e \u003cli\u003eOffers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality\u003c\/li\u003e \u003c\/ul\u003e  Acknowledgments.  \u003cp\u003eAbout the Authors.\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I: Requirements, Realities, and Architecture.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 1: Surrounding the Requirements.\u003c\/p\u003e \u003cp\u003eChapter 2: ETL Data Structures.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II: Data Flow.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 3: Extracting.\u003c\/p\u003e \u003cp\u003eChapter 4: Cleaning and Conforming.\u003c\/p\u003e \u003cp\u003eChapter 5: Delivering Dimension Tables.\u003c\/p\u003e \u003cp\u003eChapter 6: Delivering Fact Tables.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III: Implementation and operations.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 7: Development.\u003c\/p\u003e \u003cp\u003eChapter 8: Operations.\u003c\/p\u003e \u003cp\u003eChapter 9: Metadata.\u003c\/p\u003e \u003cp\u003eChapter 10: Responsibilities.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV: Real Time Streaming ETL Systems.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 11: Real-Time ETL Systems.\u003c\/p\u003e \u003cp\u003eChapter 12: Conclusions.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e   \u003cp\u003e\u003cb\u003eRALPH KIMBALL, PhD,\u003c\/b\u003e founder of the Kimball Group, has been a leading visionary in the data warehousing industry since 1982 and is one of today's best-known speakers and educators. He is the author of several bestselling titles published on data warehousing, including \u003ci\u003eThe Data Warehouse Toolkit\u003c\/i\u003e (Wiley).  \u003c\/p\u003e\u003cp\u003e\u003cb\u003eJOE CASERTA\u003c\/b\u003e is the founder of Caserta Concepts, LLC, a data warehousing consulting firm. He writes frequently for print and online magazines, and is an active contributor to DWList, the major online community for data warehousing professionals.     \u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe single most authoritative guide on the most difficult phase of building a data warehouse\u003c\/b\u003e  \u003c\/p\u003e\u003cp\u003eThe extract, transform, and load (ETL) phase of the data warehouse development life cycle is far and away the most difficult, time-consuming, and labor-intensive phase of building a data warehouse. Done right, companies can maximize their use of data storage; if not, they can end up wasting millions of dollars storing obsolete and rarely used data. Bestselling author Ralph Kimball, along with Joe Caserta, shows you how a properly designed ETL system extracts the data from the source systems, enforces data quality and consistency standards, conforms the data so that separate sources can be used together, and finally delivers the data in a presentation-ready format.  \u003c\/p\u003e\u003cp\u003eServing as a road map for planning, designing, building, and running the back-room of a data warehouse, this book provides complete coverage of proven, timesaving ETL techniques. Beginning with a quick overview of ETL fundamentals, it then looks at ETL data structures, both relational and dimensional. The authors show how to build useful dimensional structures, providing practical examples of techniques. Along the way you'll learn how to:  \u003c\/p\u003e\u003cul\u003e \u003cli\u003e Plan and design your ETL system\u003c\/li\u003e \u003cli\u003e Choose the appropriate architecture from the many possible options\u003c\/li\u003e \u003cli\u003e Build the development\/test\/production suite of ETL processes\u003c\/li\u003e \u003cli\u003e Build a comprehensive data cleaning subsystem\u003c\/li\u003e \u003cli\u003e Tune the overall ETL process for optimum performance\u003c\/li\u003e \u003c\/ul\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47990203908325,"sku":"NP9780764567575","price":48.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780764567575.jpg?v=1761786894","url":"https:\/\/k12savings.com\/es\/products\/the-data-warehouse-etl-toolkit-isbn-9780764567575","provider":"K12savings","version":"1.0","type":"link"}