For decades, Extract, Transform, Load (ETL) pipelines served as the bedrock of enterprise data infrastructure as organizations routinely spent millions building custom data pipelines to bridge their databases and data warehouses. However, as business requirements demand sub-second analytics, real-time AI decisioning, and simplified governance, the traditional ETL paradigm is breaking under its own complexity...

Given the increasing need for data among organizations today, there has been a increased trend towards data sharing and collaboration as part of a greater movement to make data readily available to those that need (with the proper security and privacy measures in place, of course). Unfortunately, some organizations still find it hard to get that data they need...