Key considerations for moving ETL workloads and enabling self-service ETL on cloud

The exponential growth of data across industries is fuelling the evolution of extract, transform, and load (ETL) processes. However, traditional on-premise environments are inadequate to support the ever-increasing data volumes due to high operational costs, rigid storage capacity, and limited infrastructure. The cloud, on the other hand, is fast transforming the way enterprises discover, mine, store, and analyze data.

By 2021, over 75% of mid-size and large organizations will have adopted a multi-cloud or hybrid IT strategy. – Gartner