Architecting Data Lakes

Data Management Architectures for Advanced Business Use Cases

Architecting Data Lakes

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Many organizations use Hadoop-driven data lakes as an adjunct staging area for their enterprise data warehouses (EDW). But for those companies ready to take the plunge, a data lake is far more useful as a one-stop-shop for extracting insights from their vast collection of data. With this eBook, you’ll learn best practices for building, maintaining, and deriving value from a Hadoop data lake in production environments.

Authors Alice LaPlante and Ben Sharma explain how a data lake will enable your organization to manage an increasing volume of datasets—from blog postings and product reviews to streaming data—and to discover important relationships between them. Whether you want to control administrative costs in healthcare or reduce risk in financial services, this ebook addresses the architectural considerations and required capabilities you need to build your own data lake.

With this report, you’ll learn:

  • The key attributes of a data lake, including its ability to store information in native formats for later processing
  • Why implementing data management and governance in your data lake is crucial
  • How to address various challenges for building and managing a data lake
  • Self-service options that enable different users to access the data lake without help from IT
  • Emerging trends that will shape the future of data lakes

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Alice LaPlante

Alice LaPlante is an award-winning writer who has been writing about technology, and the business of technology, for more than 20 years. The former news editor of InfoWorld, and a contributing editor to ComputerWorld, InformationWeek, and other national publications, Alice was a Wallace Stegner Fellow at Stanford University and taught writing at Stanford for more than two decades. She is the author of six books, including Playing for Profit: How Digital Entertainment is Making Big Business Out of Child's Play.

Ben Sharma

Ben Sharma

Ben Sharma, is CEO and co-founder of Zaloni. He is a passionate technologist with experience in business development, solutions architecture, and service delivery of big data, analytics and enterprise infrastructure solutions. Having previously worked in management positions for 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 co-author of Java in Telecommunications and holds two patents. He received his MS in Computer Science from the University of Texas at Dallas.