About this item
Highlights
- The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities.
- About the Author: Alex Gorelik is CTO and founder of Waterline Data and the founder of three startups.
- 221 Pages
- Computers + Internet, Databases
Description
About the Book
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.Book Synopsis
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.
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 industries
About the Author
Alex Gorelik is CTO and founder of Waterline Data and the founder of three startups. He also served as GM of Informatica's Data Quality Business Unit and managed the company's platform and data integration technology. Also for Informatica, Alex managed a team of 400 engineers and product managers as SVP of R&D for Core Technology, developing Informatica's platform and Data Integration technology. Alex was an IBM Distinguished Engineer and co-founder, CTO and VP of engineering at Exeros and Acta Technology. Previously, Alex was co-founder, CTO and VP of Engineering at Acta Technology (acquired by Business Objects and now marketed as SAP Business Objects Data Services). Prior to founding Acta, Alex managed development of Replication Server at Sybase and worked on Sybase's strategy for enterprise application integration (EAI). Earlier, he developed the database kernel for Amdahl's Design Automation group. Alex holds a B.S. in Computer Science from Columbia University School of Engineering and a M.S. in Computer Science from Stanford University.