Data isn’t what it used to be. A decade ago, organizations worked with static rows in warehouses. Now we’re dealing with living products that combine source data, metadata, transformation logic, documentation, tests and access policies. We’re using this for everything from basic analytics to complex AI systems, making real-time decisions — the complexity is holding most teams back.
I’ve seen teams struggle to coordinate these intricate systems, which involve hundreds of pipelines and dependencies. Every day, data engineers face…
