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Data Architecture: A Primer for the Data Scientist, 2nd Edition
book

Data Architecture: A Primer for the Data Scientist, 2nd Edition

by W.H. Inmon, Daniel Linstedt, Mary Levins
April 2019
Beginner to intermediate
431 pages
11h 32m
English
Academic Press
Content preview from Data Architecture: A Primer for the Data Scientist, 2nd Edition
Chapter 3.1

Transformations in the End-State Architecture

Abstract

One of the essences of the end-state architecture is that transformations of data occur repeatedly throughout the architecture. Although it may appear that data are static at any one moment in time, over a long spectrum of time, data are anything but static. There are many reasons for the transformations of data that occur.

Keywords

ETL; End state architecture; Transformation; Redundant data; Textual ETL; Dimensional modelling; Corporate data; Application data; Bulk storage

When you take your first glance at the end-state data architecture, several things jump out at you. One of those things is the need for transformation processes. There are a variety of transformations ...

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Publisher Resources

ISBN: 9780128169179