Automating ETL = DataOps

 In the 1980s and 1990s, software engineers developed software and then a different group manually operationalized it by either putting it on floppy disks/CDs or deploying it to a server. With the advent of cloud computing, this manual process became automated and the best practices were defined as DevOps. 

With the proliferation of data, and the large amount of information that can be generated even from metadata, the consumption of it can no longer be done manually, in the form of ETL (Extract, Transform, Load), to remain competitive. So, similar to DevOps, DataOps is a key part of automating the process of ETL which enhances data analytics.