The Data Warehouse ETL Toolkit shows data warehouse developers how to effectively manage the ETL (Extract, Transform, and Load) phase of the data warehouse development lifecycle. The authors show developers the best methods for extracting data from scattered sources throughout the enterprise, removing obsolete, redundant, and inaccurate data, transforming the remaining data into correctly formatted data structures, and then physically loading them into the data warehouse.
AcknowledgmentsAbout the AuthorsIntroductionPart I: Requirements, Realities, and ArchitectureSurrounding the RequirementsETL Data StructuresPart II: Data FlowExtractingCleaning and ConformingDelivering Dimension TablesDelivering Fact TablesPart III: Implementation and OperationsDevelopmentOperationsMetadataResponsibilitiesPart IV: Real Time Streaming ETL Systems.Real-Time ETL SystemsConclusionsIndex
Interesting Facts :
Ralph Kimball, the author of this book, is far-and-away the best-selling author on data warehousingHis new book covers the most difficult, time-consuming, and labor-intensive phase of building a data warehouse; this is essential information that data warehouse developers and managers need to knowKimball can be expected to actively promote this book through his column in Intelligent Enterprise magazine, through classes offered by his training organization, Kimball University, and online
About the Author :
Ralph Kimball has been a leading visionary in the data warehousing industry since 1982 and one of today's best-known speakers and educators. He is the author of several of the best-selling titles ever published on data warehousing, including The Data Warehouse Toolkit 2nd edition (more than 92,000 copies in two editions).Joseph Caserta is founder of Caserta Concepts, LLC, a data warehousing consulting firm, with clients that include McKinsey & Company and Citibank. He writes frequently for print and online magazines, and is an active contributor to DWList, the major online community for data warehousing professionals.
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