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The Importance of Enterprise Big Data Lake and Data Science

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The data lake is a new approach to take advantage of the capabilities of big data technology. It is designed to provide easy and convenient self-service options. But is it a good fit for your business? This book delves into discussions with practitioners and executives from over one hundred organizations. These businesses vary from data-driven companies such as Google, LinkedIn, and Facebook to traditional corporate enterprises and government agencies. You’ll get insights on what a data lake is, why businesses need it, and how to successfully build one using the best practices outlined in the book.

CTO and founder of Waterline Data, Alex Gorelik, explains why old systems and processes can no longer service the needs of enterprises. Furthermore, the book is a collection of essays by data experts from various industries sharing their experiences, best practices and information about data lake implementation, initiative and analyst projects.

Find a brief introduction to Data Warehousing, Big Data, and Data Science
Learn about different paths that enterprises take to build a data lake
Discover methods for building a self-service model and best practices for giving data analysts access to the data
Explore various approaches for building a data lake
Get first-hand knowledge about how data lake is implemented in different industries

From the brand

oreilly

oreilly

Explore Data Science

Oreilly

Oreilly

Sharing the knowledge of experts

O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

Publisher ‏ : ‎ O’Reilly Media; 1st edition (March 21, 2019)
Language ‏ : ‎ English
Paperback ‏ : ‎ 221 pages
ISBN-10 ‏ : ‎ 1491931558
ISBN-13 ‏ : ‎ 978-1491931554
Item Weight ‏ : ‎ 1.47 pounds
Dimensions ‏ : ‎ 7 x 0.4 x 9.1 inches

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The Importance of Enterprise Big Data Lake and Data Science
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