DagsterDocs

Guides#

Dagster Guides#

This section explains how to accomplish common tasks in Dagster and showcases Dagster's experimental features.

NameDescription
Versioning and MemoizationThis guide describes how to use Dagster's versioning and memoization features.
Experimental
LakehouseThis guide describes how to use Dagster Lakehouse.
Experimental
Lakehouse with Pandas and PySparkThis guide describes how to use Dagster Lakehouse with Pandas and PySpark.
Experimental
Run AttributionThis guide describes how to perform Run Attribution by using a Custom Run Coordinator
Experimental
Migrating to Graphs, Jobs, and OpsThis guide describes how to migrate the new Graph, Job, and Op APIs
Experimental
Re-executionThis guide describes how to re-execute a pipeline within Dagit and using Dagster's APIs.
Fully-Featured Example ProjectThis guide describes the Hacker News example project, which takes advantage of many of Dagster's features