Data Mapping for Data Warehouse Design
商品資訊
ISBN13：9780128051856
出版社：Elsevier Science Ltd
作者：Qamar Shahbaz
出版日：2015/12/15
裝訂／頁數：平裝／180頁
規格：22.9cm*15.2cm (高/寬)
定價
：NT$ 2397 元無庫存，下單後進貨(到貨天數約30-45天)
下單可得紅利積點：71 點
商品簡介
商品簡介
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
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