Databook, Uber’s in-house platform for surfacing and managing contextual metadata, makes dataset discovery and exploration easier for teams across the company.
This is insanely cool. One of our beliefs recently from talking to hundreds of dbt users is that data discovery and knowledge dissemination has become a major problem at the most data-forward of organizations. The core problem is that with thousands of tables available in a data warehouse, it becomes harder and harder for data consumers to know exactly where exactly to go for information and to understand its provenance.
This post from Uber goes deep into Databook, their in-house solution for this problem. At the moment it doesn’t seem like Uber is planning on open sourcing Databook, but it’s still a fascinating example of what the most data-forward organizations are investing in.