Data Lake for Enterprises

Traditional data warehouse

As explained in the previous section, due to the amount of data captured in production business applications, almost all the time, the data in production is segregated from non-production. The non-production data usually lives in different forms/areas of the enterprise and flows into a different data store (usually RDBMS or NoSQL) called the data warehouse. Usually, the data is cleansed and cut out as required by the data analyst. Cutting out the data again puts a boundary on the type of analysis an analyst can do on the data. In most cases, there should be hidden gems of data that haven’t flown into the data warehouse, which would result in more analysis, using which the enterprises can tweak certain processes; ...