This section explains how to accomplish common tasks in Dagster and showcases Dagster's experimental features.
|Migrating to Graphs, Jobs, and Ops||This guide describes how to migrate to the Graph, Job, and Op APIs from the legacy Dagster APIs (Solids and Pipelines).|
|Versioning and Memoization||This guide describes how to use Dagster's versioning and memoization features. |
|Software-Defined Assets||This guide describes how and why to use software-defined assets. |
|Run Attribution||This guide describes how to perform Run Attribution by using a Custom Run Coordinator |
|Re-execution||This guide describes how to re-execute a job within Dagit and using Dagster's APIs.|
|Fully-Featured Example Project||This guide describes the Hacker News example project, which takes advantage of many of Dagster's features|
|Validating Data with Dagster Type Factories||This guide illustrates the use of a Dagster Type factory to validate Pandas dataframes using the third-party library Pandera.|