May 2013
Beginner to intermediate
370 pages
11h 18m
English
Content preview from Data Warehousing in the Age of Big Data
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Chapter 10
Integration of Big Data and Data Warehousing
It is a capital mistake to theorize before one has data.
—Sherlock Holmes, A Study in Scarlett (Arthur Conan Doyle)
Introduction
The data warehouse of today, while still building on the founding principles of an “enterprise version of truth” and a “single data repository,” must address the needs of data of new types, new volumes, new data-quality levels, new performance needs, new metadata, and new user requirements. As discussed in earlier chapters, there are several issues in the current data warehouse environments that need to be addressed and, more importantly, the current infrastructure cannot support the needs of the new data on the same platform. We have also discussed the emergence ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.