ETL — extract, transform and load — has been the prevailing mantra for the past 30 years when it comes to data analytics. Until recently, it was just too expensive to run analytics where the data lived, and companies were forced to move information to another platform.
These days the tides have turned: The quantity of data is so vast that it's becoming impractical to transfer the data off the mainframe for analysis. So what’s next?
Read more on the SHARE President’s Corner blog.