Stories by Ken Karacsony

Too much ETL equals poor data management

To put it bluntly, performing extensive extract, transform and load (ETL) processes is a symptom of poorly managed data and a fundamental lack of a cogently developed data strategy. When data is managed correctly as an enterprise asset, then ETL is significantly reduced and in many cases completely eradicated. Now, I realize that this is a provocative statement, but in my estimation, ETL is overused within the IT community, leading to inefficiency and unnecessary expense.