Summary

Organizations invest incredible amounts of time and money in obtaining and then storing big data in stores called data lakes. But how many of these organizations can actually get the data back out in a useable form? Very few can turn a data lake into an information gold mine. Most wind up with garbage dumps.
Data Lake Architecture will explain how to build a useful data lake where data scientists and data analysts can solve business challenges and identify new business opportunities. Learn how to structure data lakes as well as analog, application, and text-based data ponds to provide maximum business value. Understand the role of the raw data pond and when to use an archival data pond. Leverage the four key ingredients for data lake success: metadata, integration mapping, context, and metaprocess.
Bill Inmon opened our eyes to the architecture and benefits of a data warehouse, and now he takes us to the next level of data lake architecture.
©2016 Bill Inmon (P)2016 Technics Publications, LLC
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2 out of 5 stars
By Greg on 17-10-16

Not useful in audio format

Decent content but some chapters were mainly reading out tables verbatim, it was not useful

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1 of 1 people found this review helpful

5 out of 5 stars
By Erick on 23-03-18

Great Book

A great inspiration and insights to data lake design. a must read for everyone building a data lake

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