ETL usually involves moving data from one or more sources, making some changes, and then loading it into a new single destination. Traditional ETL platforms have been handling data following this ‘extract, transform and load’ model. That’s pretty straightforward. However, with the explosion of data and cloud adoption, they have been trying to expand their support to new data sources and data types and the cloud or hybrid environments prevalent today.

It is a common situation for the enterprise level software solutions to use many different software systems from different vendors in order to provide full coverage of the business functions. The integration between these systems often requires real time or off-line data migration as part of the operational communication between the systems or in order to populate analytical decision making systems on regular basis.

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If you are migrating from one application environment to another, implementing a new solution, or consolidating multiple databases or applications onto a single platform (perhaps following an acquisition), you’re doing it for business reasons. It may be to save money or to provide business users with new functionality or insights into business trends that will help to drive the business forward. Whatever the reasons, it is a business issue.