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Data Engineering
Data Pipeline
Data Platform
August 22, 2025
Learn how to use the beta dbt Fusion engine in your Dagster pipelines, and the technical details of how support was added
April 5, 2024
We now have an officially supported dlt integration.
March 26, 2024
Learn the fundamentals of a healthy data engineering lifecycle to optimize pipeline and asset production.
March 11, 2024
The new dagster-openai integration lets you tap into the power of LLMs in a cost-efficient way.
February 27, 2024
An exposé of the nooks and crannies of Python’s modules and packages.
February 23, 2024
Learn how organizations can harness the strengths of both approaches to optimize their data operations.
February 8, 2024
By implementing DSLs, data teams can open their data platform to many more users without compromising on standards.
February 5, 2024
How to develop data pipelines using Software-defined Assets.
December 4, 2023
A technical deep dive into the patterns and implementations of the Dagster Open Platform using our open-sourced code and dbt models.
November 29, 2023
How the Dagster frontend team rapidly scaled Dagster’s DAG visualization for enterprise-sized data asset graphs.
November 20, 2023
Learn how to optimize your Python data pipeline code to run faster with our high-performance Python guide for data engineers.
October 20, 2023
Learn how to automate data pipelines and deployments by integrating Git and CI/CD in our Python for data engineering series.
October 13, 2023
Use Dagster’s External Assets feature for data observability, lineage, data quality, and cataloging while bringing your own orchestration and scheduling.
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