In today’s data-driven world, organizations handle massive amounts of data from various sources. Streamlining this data ...

And before that data is ready for analysis, it needs to be combined, cleaned, and normalized—a process otherwise known as extract, transform, load (ETL)—which can be laborious and error-prone.