Dagster Events

Discover how Dagster's unified control plane enables teams to build reliable, scalable Machine Learning and AI systems.

In this Deep Dive, Colton and Alex are joined by world class Data Engineer and Dagster expert Nick Roach, where he will share how we run Dagster internally.

In this webinar, Founder and CTO Nick Schrock will demonstrate Components—a low-code YAML interface that empowers users while maintaining software engineering best practices and giving data platform teams full control.

In this deep dive we are joined by Lee Littlejohn former Chef turned Machine Learning Engineer who used Dagster to transform the Data Platform at US Foods. Which broke down data silos, enhanced collaboration, and increased the velocity of delivering data products

In this deep dive we are joined by the Not Diamond team to explore how to build breakthrough AI applications by intelligently routing requests to the best-suited models for your application.

In this deep dive, MotherDuck's Jacob Matson joins us in exploring modern data engineering practices that enhance quality, speed, and reliability. Learn how to build robust data platforms and leverage cutting-edge tools for AI-driven workflows.

In this deep dive, Edson Nogueria will discuss how he and his team built the data platform at Artefact with Dagster, dbt, and dlt.

Join us for five days of expert-led data engineering and platform-building sessions featuring insights from top industry leaders.

Olivier Dupuis goes over his project where an AI agent for climate data analysis with Hex, Dagster, and LangChain, featuring a detailed walkthrough and code examples.

Dagster's integrated approach to data cataloging improves developer experience and enhances data governance and discovery, creating a win-win for technical teams and business users alike.

We showcase how Dagster and Modal combine to orchestrate scalable workloads with an intuitive developer experience to build scalable, robust pipelines.

The Modern Data Stack offers countless tools but often creates hard-to-manage pipelines. This talk shows how to transform disjointed tools into a unified, observable data platform with default high-quality data.