The Enterprise Big Data Lake (1 ed)

The data lake represents an innovative and bold strategy for leveraging the power of big data technology while offering seamless self-service capabilities. But is it the right fit for your organization? This book is the result of in-depth conversations with practitioners and executives from over a hundred organizations, ranging from data-centric giants like Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You'll gain a clear understanding of what a data lake is, why enterprises require one, and how to build it successfully using the best practices outlined in this guide.

Written by Alex Gorelik, CTO and founder of Waterline Data, this book explores why outdated systems and processes can no longer meet the evolving data demands of modern enterprises. Through a series of insightful essays, you’ll delve into real-world data lake initiatives, analytic projects, and best practices shared by data experts across diverse industries.

In this comprehensive guide, you’ll:

• Get a concise introduction to data warehousing, big data, and data science.
• Learn about the various paths organizations take to build a data lake.
• Explore how to create a self-service model and discover best practices for granting analysts access to critical data.
• Understand different approaches for architecting your data lake.
• Gain expert insights into implementing a data lake, with practical advice from professionals in various industries.

Whether you’re looking to build a data lake from scratch or optimize an existing one, this book equips you with the knowledge and strategies to navigate the complexities of this cutting-edge technology.