Get the ultimate guide to shifting left with data contracts — O'Reilly Book
Despite all the upsides, the prospect of automated data governance can be daunting. For good reason. However, data contracts can make all the difference here.
Learn why data leaders are weighing the benefits of federated vs. centralized data governance, in addition to one way of ensuring either can excel in practice.
In theory, tracked data lineage is better than none at all. But in practice, automated data lineage processes are proving essential for modern organizations.
Data engineering best practices are bordering on essential. That said, it's important to understand how data contracts make these best practices even better.
AI's been revolutionizing enterprise-scale organizations for a while. But it took the advent of data supply chains to bring the party to mission-critical ERPs.
In modern organizations, data lineage is starting to involve a lot more than just what data’s been up to. And for good reason.
The story before the story—data provenance is a key aspect of data management. But what story does provenance tell? And how is that different from data lineage?
Frameworks function by acting as essential supporting structures. To ensure yours do, adopt a pragmatic approach to developing data management frameworks.
Data quality tools are essential for ensuring optimal quality during an org’s data lifecycle. This is why the right tool should always trump the “best” tool.
