Dagster (@dagster) 's Twitter Profile
Dagster

@dagster

Ship data pipelines with extraordinary velocity.
Dagster+: dagster.io/plus
GitHub: github.com/dagster-io
Slack: dagster.io/slack

ID: 1133057436720386048

linkhttps://dagster.io calendar_today27-05-2019 17:08:38

1,1K Tweet

4,4K Followers

143 Following

Dagster (@dagster) 's Twitter Profile Photo

We will be at PyCon this year in Pittsburgh. If you're going, make sure you stop by our booth to chat about data engineering, share your experiences, and ask any Dagster questions you may have. Looking forward to connecting with the Python community that's helped shape our

We will be at PyCon this year in Pittsburgh. If you're going, make sure you stop by our booth to chat about data engineering, share your experiences, and ask any Dagster questions you may have. 

Looking forward to connecting with the Python community that's helped shape our
Alex Noonan (@alexnoonan6) 's Twitter Profile Photo

Data engineers yearn for a better development experience. At Dagster, we've been cooking on Components and new cli dg which gives you a snappy experience with a fast feedback loop. To demonstrate this, I built an end-to-end data platform in 9 minutes!

Data engineers yearn for a better development experience. At <a href="/dagster/">Dagster</a>, we've been cooking on Components and new cli dg which gives you a snappy experience with a fast feedback loop. To demonstrate this, I built an end-to-end data platform in 9 minutes!
PyCon US (@pycon) 's Twitter Profile Photo

Thank you Dagster for your Partner sponsorship- your support goes into making #PyConUS a wonderful event for our community! #python

Dagster (@dagster) 's Twitter Profile Photo

See you at the Databricks Data & AI Summit! 🎯 Stop by our booth to learn how teams are using Dagster to build reliable, scalable data platforms that actually work the way engineers think. ⚙️ Local testing 💰 Cost monitoring 👥 One platform, many teams 🏗️ Future-proof

See you at the Databricks Data &amp; AI Summit! 🎯

Stop by our booth to learn how teams are using Dagster to build reliable, scalable data platforms that actually work the way engineers think.

⚙️ Local testing 
💰 Cost monitoring 
👥 One platform, many teams 
🏗️ Future-proof
Alex Noonan (@alexnoonan6) 's Twitter Profile Photo

The Dagster team has been working hard to improve the observability and monitoring suite within Dagster. I've been using these features internally, and they really make it easier to stay on top of what's going on with your data platform. Josh Braun does a great breakdown