OpenMetadata

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History

Databricks Connection - User & Password clean (#6866 )

* Databricks Connection - User & Password clean

* Fix: Python checkstyle failed

* Fix: update the migration scripts

2022-08-23 14:36:58 +02:00

connectors

Fix #3104 - Remove unused imports with pycln (#3370 )

2022-03-14 06:59:15 +01:00

examples

Fix #6782 : Separate TableProfile and ColumnProfile api calls (#6783 )

2022-08-22 21:31:24 +05:30

pipelines

Revert Rename on MetadataEs (#6537 )

2022-08-03 19:36:09 +05:30

src

Fix #6862 : Improve Superset dict handling (#6864 )

2022-08-23 10:07:09 +02:00

tests

Fix #6782 : Separate TableProfile and ColumnProfile api calls (#6783 )

2022-08-22 21:31:24 +05:30

__init__.py

…

.coveragerc

Prepare CI for Airflow APIs (#6240 )

2022-07-21 12:29:57 +02:00

airflow.cfg

Fix#6517: Add clusterName property to the application config yaml (#6610 )

2022-08-09 09:00:43 +02:00

Dockerfile

Added libxml2 in the ingestion Dockerfile (#6778 )

2022-08-18 15:54:00 +05:30

Dockerfile_local

Fix for profiler: modified filter patterns and added error handling (#6608 )

2022-08-08 10:43:17 +05:30

ingestion_dependency.sh

Fix #3259 : Added option in CLI to ingest sample data (#3616 )

2022-03-24 19:26:04 +05:30

LICENSE

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README.md

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setup.cfg

Fix #3395 - Profiler linting (#5177 )

2022-05-27 09:50:08 +02:00

setup.py

Databricks Connection - User & Password clean (#6866 )

2022-08-23 14:36:58 +02:00

sonar-project.properties

Fix#5924: Implement secret manager for Airflow REST Plugin (#6128 )

2022-07-19 14:51:44 +02:00

README.md

This guide will help you setup the Ingestion framework and connectors

OpenMetadata Ingestion is a simple framework to build connectors and ingest metadata of various systems through OpenMetadata APIs. It could be used in an orchestration framework(e.g. Apache Airflow) to ingest metadata. Prerequisites

Python >= 3.8.x

Docs

Please refer to the documentation here https://docs.open-metadata.org/connectors