For many data teams, integrating data across different data silos requires them to build and maintain complex extract, transform, and load (ETL) pipelines that take hours, if not days, to complete. ETL may be status quo, but it simply isn’t fast enough to keep up with the speed of decision making. ETL needs to be simpler and in many cases, eliminated.
Learn how you can move to a zero-ETL future and make the most of all of your data. In our eBook The Future of Data Integration, we’ll take a closer look at the common challenges that come with manually building and maintaining ETL pipelines. We’ll then examine how the right data integration technology works to remove those challenges. And to wrap up, we’ll dive deeper into the four areas of data integration.