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 Recent Advances in Cytometry, Part B by Qamar Shahbaz
Cover of the book Rethinking Valuation and Pricing Models by Qamar Shahbaz
Cover of the book Advanced Computer-Aided Fixture Design by Qamar Shahbaz
Cover of the book Stem Cell Biology and Tissue Engineering in Dental Sciences by Qamar Shahbaz
Cover of the book Statistical Shape and Deformation Analysis by Qamar Shahbaz
Cover of the book Handbook of Organic Materials for Electronic and Photonic Devices by Qamar Shahbaz
Cover of the book Traits of a Jackass Manager by Qamar Shahbaz
Cover of the book Advances in Biorefineries by Qamar Shahbaz
Cover of the book Mind and Motion: The Bidirectional Link between Thought and Action by Qamar Shahbaz
Cover of the book Geothermal Power Plants by Qamar Shahbaz
Cover of the book Academic Press Library in Signal Processing, Volume 6 by Qamar Shahbaz
Cover of the book Viruses and Virus Diseases of Vegetables in the Mediterranean Basin by Qamar Shahbaz
Cover of the book Biodiversity of the Southern Ocean by Qamar Shahbaz
Cover of the book High Voltage Test Techniques by Qamar Shahbaz
Cover of the book Advances in Botanical Research 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