Summary
- Explores data complexity from multi-database environments.
- Stresses supporting diverse and evolving data ecosystems.
- Highlights tools for data quality and observability.
- Reframes compliance as a driver of customer trust and value.
The reality is that data is very complicated, and every organization we speak to has data across multiple different types of databases for different use cases. What we need to do, um, as an industry is to recognize the fact that nobody's who snowflake or data bricks or Google, what we need to be able to do is to support all of these data, data ecosystem, right? So regardless of the tooling that's being used for data quality, for observability, plug into that, acknowledge the fact that they've got this great big mess and help simplify it for them. How about you? What are your thoughts on this? I think the, it just doesn't stop here for me, this is where it begins because you have all the sources, but these are not necessarily very standardized sources. If we end up having to use the most common denominator, just because we have this 20 different standards that people actually won't change, it actually becomes quite challenging.
So I always wonder that sometimes it feels like it's good to comply to something, even though it, it feels like a compromise because you're not gonna get everything that you want, but your customers would like you because you're not gonna be the only product that your customers use. People see standards as a way to help customers as opposed to a burden that they actually have to comply with.
