Téléchargez le livre : Data Mapping for Data Warehouse Design

Data Mapping for Data Warehouse Design



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Éditeur :

Morgan Kaufmann


Paru le : 2015-12-08



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Description
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
Pages
180 pages
Collection
n.c
Parution
2015-12-08
Marque
Morgan Kaufmann
EAN papier
9780128051856
EAN EPUB SANS DRM
9780128053355
Informations sur l'ebook
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
30,54 €
Qamar shahbaz Ul Haq is currently a senior business intelligence consultant with Stewart Title where he creates cloud based business intelligence and SAAS Big Data applications. He has more than 9 years of experience designing Business Intelligence / Data Warehouses solutions and has spent most of this time in data mapping, working across different industries and cultures learning different 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.

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