4 docs tagged with "metadata"

With this integration you can create a Open Metadata service to ingest metadata produced by the Dagster application. View the Ingestion Pipeline running from the Open Metadata Service Page.

Perform data validation, emit summary statistics, and enable reliable DataFrame serialization/deserialization. The dagster_pandas library provides you with the utilities for implementing validation on Pandas DataFrames. The Dagster type system generates documentation of your DataFrame constraints and makes it accessible in the Dagster UI.

The dagster-pandera integration library provides an API for generating Dagster Types from Pandera DataFrame schemas.

Connect Dagster to Secoda and see metadata related to your Dagster assets, asset groups and jobs right in Secoda. Simplify your team's access, and remove the need to switch between tools.