Without design principles, swimming in circles in a big data lake can make your arms tired. Fortunately, the data lake concept has evolved sufficiently that best practices have emerged. In an open discussion, these big data experts will shed light on how a data lake changes the data storage, data processing, and analytic workflows in data management architectures. This session explains design principles that—done right—will increase the success of your data lake. Always with an eye on costs, we will discuss recently published research from TDWI on Data Lake Principles and Economics.
Based on real data lake deployments you will learn: