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Serverless development and feedback loopsWith Serverless Dagster Cloud you can develop and deploy Dagster code without setting up either a local development environment or any cloud infrastructure. When you commit a change to GitHub, a GitHub Action builds and deploys your code directly to Dagster Cloud, where you can view and interact with your Dagster objects in the UI.  With Dagster Cloud, remo

What does Zoolander have to do with Data Engineering? Probably less than you might think.   DuckDB is so hot right now. It could be for a few reasons: It is feature-rich, matching many common data warehouses in its feature setIt’s fastIt can run locally, so your tests can use the same engine as productionIt plays really nice with Python, including deep Pandas integrationIt can access remote data s

Get the tale of the tape between the two orchestration giants and see why Dagster stands tall as the superior choice. When it comes to data orchestration there are two names that are almost always in the conversation: Apache Airflow and Dagster. We often get asked why data engineering teams should choose Dagster over Airflow. It boils down to a few key differences: Asset orientation: Dagster focus

Today, I’m excited to announce that Elementl raised a $14M Series A led by Mike Volpi of Index Ventures, alongside Sequoia Capital, Slow Ventures, Coature, Neo, Amplify Partners, OSS Capital, and other leading venture capital investors. Soon we will also be announcing our hosted product, Dagster+, which unifies all of your data tools into a productive, seamless, enterprise-grade data platform. Sig