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Architecting Data Lakes

February 21, 2017

How to build a governed, actionable, and scalable data lake

Data lakes are proving to be highly useful data management architectures for advanced business use cases that require big data inputs. In this eBook, we will discuss best practices associated with building, maintaining and deriving value from a data lake in production environments. We will address architectural considerations and required capabilities.

If you are concerned with building a data architecture that will serve you now and scale for the future, this is a must read book.

About the Authors

Ben Sharma, CEO and cofounder of Zaloni, is a passionate technologist with experience in solutions architecture and service delivery of big data, analytics, and enterprise infrastructure solutions. Previously with NetApp, Fujitsu, and others, Ben’s expertise ranges from business development to production deployment in a wide array of technologies, including Hadoop, HBase, databases, virtualization, and storage. Ben is the coauthor of Java in Telecommunications and holds two patents.

Alice LaPlante is an award-winning writer who has been writing about technology and the business of technology, for more than 30 years. Author of seven books, including Playing For Profit: How Digital Entertainment is Making Big Business Out of Child’s Play, LaPlante has contributed to InfoWorld, ComputerWorld, InformationWeek, Discover, BusinessWeek, and other national business and technology publications.

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