Organizations face a huge challenge in processing big data from RDBMS systems in batch or real-time to set up a data lake on Hadoop to produce an output to suit their data warehouse or data mart. To do so requires transformation of the business layer to consume data from Hadoop. Our transformation accelerator provides a code-less framework and data engineers have to focus only on the business specific transformation and the other simple transformations after the raw data is ingested into the Hadoop environment. It is easy to validate or compare the results between old systems and the new consumption ready data on HIVE.

Implementing Data Lake On Hadoop