Data Lakes: Four Things To Consider for Future Scalability Anees Merchant Senior Vice President, Digitalcopyright 2018 Course5 1 Data is growing in volume, speed and in types. This is creating challenges for storing data and using it when required. To overcome this challenge, organizations are embarking on data lake journeys. Data lakes help store data in their raw format for a long period of time at a significantly low cost as compared existing storage options. However, the biggest challenge is with implementing data lakes in their true sense so as avoid data lake fails. This paper explores several issues organizations face while implementing data lakes and the fail-safe measures they can adopt for a successful data lake implementation. Abstract Building a data lake is one thing, b

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