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Upcoming Events
Building a trusted and productive data platform with Software-defined Assets - a fireside chat.
In this fireside chat between Sandy Ryza, Lead Engineer on the Dagster Project, and Pete Hunt, CEO of Dagster Labs, we will discuss Dagster's core framework, built around the core concept of Data Assets. By employing such a framework, Data Engineering, and ML teams can build repeatable processes while leveraging key capabilities like Continuous Integration, testing, and observability at scale.
05:00 PM UTC • Virtual
GitHub Discussions
Community Spotlight
@dagsterio is the gift that keeps on giving. Last week I was working on some improvements to discursus core which led me down some new 🐰 holes. Here are a few things I discovered in regards to assets and configs in Dagster 🧵
@olivierdupuis
Now You're Thinking With Assets
Vinnie Dalpiccol
Build Data Application with Dagster -English version-
LINE Developers
idk who needs to hear this but @dagsterio is an amazing tool and their slack is one of the most helpful I've seen
@programmer
Converting NOAA GOES Lightning Weather Data with Dagster Software-Defined Assets
Adebayo Adejare
Dagster's declarative scheduling is such a huge improvement. Currently refactoring and I think I'll be able to get rid of all jobs and schedules. I only have a asset_reconciliation_sensor that makes sure all my assets conform to their freshness policies. Clever!
@olivierdupuis
Building shared spaces for data teams at Drizly
Dennis Hume
Lyn Health's Data Laboratory: Deploying Dagster on ECS with GitHub Actions
Kevin Haynes
How To Orchestrate Airbyte Syncs with Dagster
Airbyte
Quick ML Pipeline using MLflow, Dagster, and Github Actions
Gus Cavanaugh
Graceful interruption of dbt with Dagster on Kubernetes
Brian Pohl
Developing in Dagster
Alex S
I’m excited to see Dagster launch after years of building the ultimate platform for data pipelines. We at @Neo are proud to have backed you since day one.
@apartovi
4 Essential Steps for Building a Simulator
Devjit Chakravarti
We're excited to share that we are partnering with Dennis Hume (Data Engineer at Dutchie) and co:rise to build a course on Data Engineering with Dagster! The course launches on August 15th. Sign up HERE: https://corise.com/course/dagster
@dagster
The declarative scheduling system just introduced in Dagster looks _very different_ from scheduling in other orchestrators - no DAGs, no Flows, no Jobs.Instead, you directly specify how up-to-date you expect each data asset to be, and Dagster takes it from there.
@s_ryz
Dabbling with Dagster - Part 1
David Jayatillake
Incrementally Adopting Dagster at Mapbox
Ben Pleasanton
The future of data orchestration: asset-based orchestration
Jonathan Neo
Building ML Pipelines with Dagster: The role of the orchestrator in machine learning, Sandy Ryza
Machine Learning REPA
Dagster: Modern Data Platform Orchestration
Dennis Hume
The simplest deployable Dagster pipeline (in 120 lines of Python)
Aabir Abubaker Kar
Dagster Hot Takes: Retries and Alerts
Sean Lopp
Sentra getting ready to watch Dagster Day! @dagsterio
@DanielSuissa1
Tuning Whatnot’s Data Platform for Speed and Scale
Stephen Bailey
Standardising MLOps in a start-up with Dagster and PyTorch - PyCon Italia 2022
Python Italia
Building a data application with DuckDB (and Dagster)
Fran Lozano
Increasing Operational Efficiency with Scalable Forecasting
Ryan Schork
Architecture Review: Dagster vs. Airflow
Michael Guarino
Dagster Community Meeting: Featuring VMware and Dagster Updates
Dagster