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The enterprise big data lake : delivering the promise of big data and data science / Alex Gorelik.

By: Material type: TextTextPublisher: Sebastopol, California : iO'Reilly Media, Inc., [2019]Copyright date: ©2019Edition: 1st edDescription: xiii, 205 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781491931554
  • 1491931558
Subject(s): DDC classification:
  • 005.745 23
Contents:
Introduction to data lakes -- Historical perspective -- Introduction to big data and data science -- Starting a data lake -- From data ponds/big data warehouses to data lakes -- Optimizing for self-service -- Architecting the data lake -- Cataloging the data lake -- Governing data access -- Industry-specific perspectives.
Summary: The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You'll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book.
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Item type Current library Call number Materials specified Status Date due Barcode
Books Books MYCC Library General stacks 005.745 GOR 2019 (Browse shelf(Opens below)) Available

Includes index.

Introduction to data lakes -- Historical perspective -- Introduction to big data and data science -- Starting a data lake -- From data ponds/big data warehouses to data lakes -- Optimizing for self-service -- Architecting the data lake -- Cataloging the data lake -- Governing data access -- Industry-specific perspectives.

The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You'll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book.

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