Data Mapping for Data Warehouse Design

Nonfiction, Computers, Database Management, Data Processing, General Computing
Cover of the book Data Mapping for Data Warehouse Design by Qamar Shahbaz, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Qamar Shahbaz ISBN: 9780128053355
Publisher: Elsevier Science Publication: December 8, 2015
Imprint: Morgan Kaufmann Language: English
Author: Qamar Shahbaz
ISBN: 9780128053355
Publisher: Elsevier Science
Publication: December 8, 2015
Imprint: Morgan Kaufmann
Language: English

Data mapping in a data warehouse is the process of creating a link between two distinct data models’ (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract, transform, and load data between databases) developer to a data modeler role. Data Mapping for Data Warehouse Design provides basic and advanced knowledge about business intelligence and data warehouse concepts including real life scenarios that apply the standard techniques to projects across various domains. After reading this book, readers will understand the importance of data mapping across the data warehouse life cycle.

  • Covers all stages of data warehousing and the role of data mapping in each
  • Includes a data mapping strategy and techniques that can be applied to many situations
  • Based on the author’s years of real-world experience designing solutions
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Data mapping in a data warehouse is the process of creating a link between two distinct data models’ (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract, transform, and load data between databases) developer to a data modeler role. Data Mapping for Data Warehouse Design provides basic and advanced knowledge about business intelligence and data warehouse concepts including real life scenarios that apply the standard techniques to projects across various domains. After reading this book, readers will understand the importance of data mapping across the data warehouse life cycle.

More books from Elsevier Science

Cover of the book Computational Toxicology by Qamar Shahbaz
Cover of the book Recent Advances in Parkinsons Disease by Qamar Shahbaz
Cover of the book Advances in Imaging and Electron Physics by Qamar Shahbaz
Cover of the book Principles, Practices, and Positions in Neuropsychiatric Research by Qamar Shahbaz
Cover of the book Virus Taxonomy by Qamar Shahbaz
Cover of the book Health, Safety and Ergonomics by Qamar Shahbaz
Cover of the book Graphics Gems III (IBM Version) by Qamar Shahbaz
Cover of the book Wheel-Rail Interface Handbook by Qamar Shahbaz
Cover of the book Handbook for Transversely Finned Tube Heat Exchanger Design by Qamar Shahbaz
Cover of the book Applications of Mass Spectrometry Imaging to Cancer by Qamar Shahbaz
Cover of the book Business Process Change by Qamar Shahbaz
Cover of the book Nanobiomaterials in Galenic Formulations and Cosmetics by Qamar Shahbaz
Cover of the book Cranio-Facial Growth in Man by Qamar Shahbaz
Cover of the book Thor's OS Xodus by Qamar Shahbaz
Cover of the book The Arts and The Brain by Qamar Shahbaz
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy