Description: Organizations invest incredible amounts of time and money obtaining and then storing big data in data 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 the 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.
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EAN: 9781634621175
UPC: 9781634621175
ISBN: 9781634621175
MPN: N/A
Book Title: Data Lake Architecture: Designing the Data Lake an
Item Length: 22.6 cm
Item Height: 229 mm
Item Width: 152 mm
Author: Bill Inmon
Publication Name: Data Lake Architecture: Designing the Data Lake and Avoiding the Garbage Dump
Format: Paperback
Language: English
Publisher: Technics Publications LLC
Subject: Computer Science
Publication Year: 2016
Type: Textbook
Item Weight: 270 g
Number of Pages: 166 Pages