Data Lake Architecture (Paperback)

Bill Inmon

ISBN 10: 1634621174 / ISBN 13: 9781634621175

Published by Technics Publications LLC, Bradley Beach, 2016

About this Item

Paperback. 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. 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781634621175

Bibliographic Details

• Title: Data Lake Architecture (Paperback)
• Publisher: Technics Publications LLC, Bradley Beach
• Publication Date: 2016
• Language: English
• ISBN 10: 1634621174
• ISBN 13: 9781634621175
• Binding: Paperback
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

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.

About the Author

Bill Inmon - the "father of data warehouse" - has written 57 books published in nine languages. Bill's latest adventure is the building of technology known as textual disambiguation - technology that reads raw text in a narrative format and allows the text to be placed in a conventional data base so that it can be analyzed by standard analytical technology, thereby creating unique business value for Big Data/unstructured data. Bill was named by ComputerWorld as one of the ten most influential people in the history of the computer profession. Bill lives in Castle Rock, Colorado.