Session Title: Structuring The Data Lake
Speaker: Tillmann Eitelberg

Abstract: The Data Lake, infinite storage space, infinite possibilities to collect and hoard data. But is that the goal? Especially in a data lake there are rules how to store data, developers have to deal with naming conventions, business rules and policies.

In this session we will show which different concepts exist for structuring a data lake. Which naming conventions have become established or should be avoided. The Azure Data Lake also offers some support on the infrastructure side in the form of policies that can help to build a clean data lake.

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