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What new opportunities are being unlocked by building on modern data stacks with dbt that were previously impossible?

Julia Schottenstein

Product Manager at dbt Labs

It's not any one application that I'm most excited about. It's more that we are increasingly breaking down data silos so that data can be used in many contexts. This is hard to do right because centralizing data in one storage layer is never really possible for large companies, but increasingly we see data tools being composable so that you can be sure you’re getting the same data information anywhere you view it.

Then, data conversations become a lot more interesting, because you don't have to constantly question, "Is this data right? Can I trust this data?" High quality data can be pushed to more real-time use cases, like a production application. Or, it can be pushed into systems of action like Salesforce where I trust this data so completely that I can go and send a marketing campaign email off of it without human intervention. 

That, I think, is really exciting. It's more centralization, consistency of business logic that people can depend on across different data stores for different use cases.

Find this answer in Julia Schottenstein, Product Manager at dbt Labs, on the business model of open source
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