Introducing the in-process OSS DuckDB for SQL-based data analytics, show its capabilities with a bunch of live demos and talk about how we're exploring using the cloud to support in-process usage instead of replacing it.
We're all decision-makers, Businesses need access to fast, fresh analytics to provide these insights to end-users like us.
I will argue the case for developing more semantically meaningful and well-curated data tests by incorporating both conceptual and technical aspects of "how the data gets made".
We wanted to share our implementation of Airbyte as being core to our company's data stack.
In this talk, we’ll see how a unified semantic layer—or metrics layer? or the Headless BI platform in the heart of your data pipeline?
When we wanted to start Anecdote we planned to hire X data engineers to build all of the pipelines we need, but then we discovered Airbyte which allowed us to ship our first MVP in half of the time we initially planned.
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