The Cloud Helped Expand ETL into Automated Data Infrastructure
In this contributed article, Ben Bloch, CEO of Bloch Strategy, defines Extraction, Transformation and Load (ETL) as the process of taking data from one system, changing it in a way that allows it to be integrated with other data in a new system. Since it’s automated you can work with scale in more agile ways. It became a well known acronym in business software during the 1990s, due to the focus on data warehouses. Many people in the industry have tied ETL too closely to on-premise data warehousing, and consider that it has no place in the Cloud world, but that is an incorrect assumption. ETL is even more important today.