Dagster Labs’ Post

We are currently hiring for roles across the company! We have offices across the following cities and all roles have the opportunity for remote: - San Francisco, CA - New York, NY - Minneapolis, MN - Philadelphia, PA Make sure you check out all open positions at dagster.io/careers

Just getting started with #Dagster? Curious on how to start? Learn how to represent a data pipeline as the data assets it produces and orchestrate a pipeline you’ll make with Dagster in our Dagster Essentials course. FREE. Enroll now: https://bit.ly/4h2uY6w

The Code locations feature in Dagster solves the problem of managing complexity and scalability in large, multi-team data environments. 1. Maintaining isolation between different teams data pipelines while still using a centralized orchestration platform 2. Enabling independent deployment and management of different sets of data pipelines and their dependencies 3. Implementing multi-tenancy in data platforms without the need for separate instances

We heard you loud and clear. You love pretty little icons. You want icons on every asset. You want multiple icons per asset? You can have all the icons on every asset. Just released is a kind parameter, where you can pass in all the kinds you want to your heart's content. No such thing as too many icons! 🏧 ⚠️ 🥄 📹

The data world is evolving from solo work to collaborative platforms. Learn how to build data communities that facilitate collaboration and accelerate learning. In this post, we talk through some of the environmental trends influencing the communities we’ve come to know and love.

Traditional data catalogs are holding your team back! Join us on Oct 15 @ 9am PT to learn how integrated data catalogs eliminate tool fatigue, improve data discovery, and streamline governance. Don't miss out! Register here: https://bit.ly/3BFrw1p

Software-defined assets are a way to represent assets by writing code that describes the asset, its upstream dependencies, and a function that can be run to compute the asset's contents. Learn about them, their role in data infrastructure, and why data teams need them here: https://bit.ly/3YedzAe