Description
Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you’ll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries.
- 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 industriesThe 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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