Browse the conference agenda to discover the most interesting sessions for you.
“If you could put one message on a billboard for the whole data world to see, what would you say”
As data and analytics engineers, it’s easy to get caught up in the mechanics of the pipelines we built. How do we move data from one source to another? How do track changes and dependencies? How do we do it all faster, more reliably, and with more automation?
Data Integration is a crucial part of the data value chain; it is also where many anomalies can arise, causing the whole downstream processes to break and trust to be eroded.
We look at how open source projects can synergize for the benefit of their users.
"If you could put one message on a billboard for the whole data world to see, what would you say”
Kick-off move(data) day two with a question answer from Chetan Puttagunta on what the future of the data stack.
To efficiently apply the necessary changes to a pipeline requires running it parallel to production to test the effect of a change. Most data engineers would agree that the best way to do this is far from a solved problem.
No first-class engineering team will be writing ETL in 2 years.
In this talk, we want to chat about the history of Trino, ingesting data with Airbyte, and show an example of these two technologies in action.
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.
.png)
.jpeg)
