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A Deep Dive Into Data Lake and its Implementation


This Thoughtcast gives you an in-depth view of Data Lake and what are the different ways in which companies can implement Data Lake. It also showcases the 3 Vs of Data Lake i.e. Volume, Velocity and Variety and how one can implement Data Lake on cloud as well as on premise. It also lists the industries where implementation of Data Lake could be most beneficial.


Key Takeaways

Data Lake can be implemented on cloud as well as on premise

No data model is required for data lake

Data Lake is more beneficial for Retail and Telecom industry

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