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Data Warehousing in the Age of Big Data by Krish Krishnan

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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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