In this episode of Lowdown on Low Code, host John Rymer and data expert Rick Greenwald delve into the complexities of data governance within the low code movement. They discuss the challenges posed by distributed data, the elusive quest for a single source of truth, and the importance of understanding data correctness in context. The conversation emphasizes the need for effective governance strategies that align with the realities of distributed data systems and the role of developers in maintaining data integrity.

Takeaways
-Rick Greenwald has over 40 years of experience in data.
-Distributed data refers to data from multiple sources, not just geographical distribution.
-The desire for a single uniform data pool is common but challenging to achieve.
-Correctness of data is context-dependent and varies by use case.
-Governance is essential but often overlooked in data management.
-Developers play a role in data governance through their interactions with end users.
-Many systems operate in silos, reducing the need for unified governance.
-AI agents require access to diverse data but complicate governance.
-Organizations must recognize that all data is governed, whether they acknowledge it or not.
-Having too many versions of data is a sign of multiple use cases, not poor management.