Data Mapping for Data Warehouse Design

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9780128051856: Data Mapping for Data Warehouse Design

Data mapping in data warehouse lifecycle 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 transform data from one state to another; every stage has its own unique requirements and challenges. Data Mapping for Data Warehouse Design provides basic and advanced knowledge about data mapping/data transformation. The book contains real life scenarios that reader faces and present solutions/standard techniques across various domains. After reading this book, readers will understand the working of data mapping in data warehouse life cycle.

  • Covers all stages of data warehousing and the role of data mapping
  • Includes data mapping strategies and techniques that can be applied to business use cases
  • Based on the author's years of real-world experience designing solutions

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About the Author:

Qamar shahbaz Ul Haq is expert in field of data warehousing, big data and have designed reporting/analytical applications in various domains. Working across different industries and cultures, Qamar have gained knowledge of Data warehouse design from all aspects of this field. In previous roles he has created solutions ranging from billing systems to semantic design to performance optimization for maximum throughput of data processing.
This is first publication from the author, Qamar's next projects include - Big data for Telecom Industry - Design Active (realtime) Analytical applications- Business Intelligence as a Saas Product 

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Qamar Shahbaz
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Book Description ELSEVIER SCIENCE TECHNOLOGY, United States, 2015. Paperback. Book Condition: New. Language: English . Brand New Book. 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. Bookseller Inventory # AAW9780128051856

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Book Description ELSEVIER SCIENCE TECHNOLOGY, United States, 2015. Paperback. Book Condition: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Bookseller Inventory # EOD9780128051856

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Book Description ELSEVIER SCIENCE TECHNOLOGY, United States, 2015. Paperback. Book Condition: New. Language: English . Brand New Book. 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. Bookseller Inventory # AAW9780128051856

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