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, this book authored by Alex Gorelik presents a collection of essays. The book covers what a data lake is, why enterprises need one, data lake implementation, examining data lake initiatives, analytic projects, experiences, and best practices informed by data experts working in various industries.

Author: Alex Gorelik
Publisher: O'Reilly
Date: March 2019
Pages: 224
ISBN: 978-1491931554
Print: 1491931558
Kindle: B07NY44RKR
Audience: Those involved with enterprise-level data
Level: Introductory
Category: Data Science 

• Get a succinct introduction to data warehousing, big data, and data science
• Learn various paths enterprises take to build a data lake
• Explore how to build a self-service model and best practices for providing analysts access to the data
• Use different methods for architecting your data lake
• Discover ways to implement a data lake from experts in different industries

For recommendations of data mining books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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