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Data Lakes Guide: 10 Requirements for Success
Data Lakes are gaining popularity as a way to store massive amounts of information for big data and analytics applications. But how are data lakes built? Here are 10 requirements for success.Image: iStock
What Is A Data Lake?
Before we explore how data lakes are built, its important to understand the purpose of a data lake. Pentaho CTO James Dixon is widely credited with coining the term data lake and describing it in 2010, stating: "If you think of a datamart as a store of bottled water cleansed and packaged and structured for easy consumption the data lake is a large body of water in a more natural state. The contents of the data lake stream in from a source to fill the lake, and various users of the lake can come to examine, dive in, or take samples."Image: iStock