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All Events
Deep Dive
Partner Hosted
Virtual
In-Person
Webinar
November 4, 2025
Small Data SF
Dagster is headed to Small Data SF! Join us at the conference that brings together developers and data practitioners for two days of workshops and talks that challenge the "bigger is always better" mentality in data and AI.
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November 18, 2025
Microsoft Ignite
Get the edge you need to drive impact in the era of AI. Join us to bolster your knowledge, build connections, and explore emerging technologies.
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Partner Hosted
In-Person
December 1, 2025
AWS re:Invent
Join Dagster in Las Vegas as cloud pioneers gather from across the globe for the latest AWS innovations, peer-to-peer learning, expert-led discussions, and invaluable networking opportunities.
Learn More
In-Person
Partner Hosted
No upcoming
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events on the calendar but check back soon! In the meantime, explore recordings of our past events below.
Past Events
June 11, 2025
Accelerating MLOps Maturity with Neurospace
Discover how Dagster's unified control plane enables teams to build reliable, scalable Machine Learning and AI systems.
Watch the recording
Deep Dive
Virtual
Webinar
May 13, 2025
Dagster Running Dagster: Our Open Platform
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.
Watch the recording
Deep Dive
Virtual
Webinar
April 16, 2025
Build Maintainable Low-Code Data Platforms With Dagster Components
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.
Watch the recording
Deep Dive
Virtual
Webinar
April 1, 2025
Cooking with Gas: Building a Data Platform at US Foods
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
Watch the recording
Deep Dive
Virtual
Webinar
February 11, 2025
Building Breakthrough AI Applications with Not Diamond
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.
Watch the recording
Deep Dive
Webinar
Virtual
January 14, 2025
Shifting Left and Moving Forward with MotherDuck
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.
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Deep Dive
Virtual
Webinar
December 19, 2024
Stop Firefighting. Start Innovating with Dagster.
In this deep dive, Edson Nogueria will discuss how he and his team built the data platform at Artefact with Dagster, dbt, and dlt.
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Deep Dive
Virtual
Webinar
November 18, 2024
Data Platform Week
Join us for five days of expert-led data engineering and platform-building sessions featuring insights from top industry leaders.
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Virtual
October 31, 2024
Orchestrating AI Agents with Hex and Dagster
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.
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Deep Dive
Virtual
Webinar
October 15, 2024
The Evolution of Data Catalogs and Why They Matter
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.
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Deep Dive
Virtual
Webinar
September 25, 2024
Orchestrating Flexible Compute for ML
We showcase how Dagster and Modal combine to orchestrate scalable workloads with an intuitive developer experience to build scalable, robust pipelines.
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Deep Dive
Virtual
Webinar
September 6, 2024
Building a True Data Platform: Beyond the MDS
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.
