The Data Warehouse ETL Toolkit

Joe Caserta,Ralph Kimball

Verlag: Wiley India Pvt. Ltd, 2004
ISBN 10: 8126505540 / ISBN 13: 9788126505548
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ETL--which stands for Extract, Transform, Load--refers to the process in which data is extracted from source databases throughout the enterprise, transformed into correctly formatted data structures, cleansed of redundant and unneeded data, and then loaded into the data warehouse. If ETL is done right, companies will maximize their use of data storage; if not, they can end up wasting millions of dollars storing obsolete and rarely used data. That`s what Wal-Mart discovered a few years ago--it had been spending millions of dollars yearly to maintain data that should have been cleansed and removed in the Staging phase. Acknowledgments About the Authors Introduction Part I: Requirements, Realities, and Architecture Surrounding the Requirements ETL Data Structures Part II: Data Flow Extracting Cleaning and Conforming Delivering Dimension Tables Delivering Fact Tables Part III: Implementation and Operations Development Operations Metadata Responsibilities Part IV: Real Time Streaming ETL Systems. Real-Time ETL Systems Conclusions Index Printed Pages: 510. Buchnummer des Verkäufers 61450

Bibliografische Details

Titel: The Data Warehouse ETL Toolkit
Verlag: Wiley India Pvt. Ltd
Erscheinungsdatum: 2004
Einband: Softcover
Zustand: New

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RALPH KIMBALL & JOE CASERTA
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Buchbeschreibung "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. Artikel-Nr. WILEY-9788126505548

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