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Pere Miquel Brull 0a921abf8b
Fix #6005 - Create ML Model Topology (#6080) 
Fix #6005 - Create ML Model Topology  (#6080)
2022-07-14 15:07:53 +02:00
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.idea
Fix #4082: Do not start slack event publisher if there is no config (#4083)
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connectors
Fix #3104 - Remove unused imports with pycln (#3370)
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examples
dbServiceName field move from serviceConnection to sourceConfig (#6047)
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pipelines
Fix #5303: Add an option to ElasticSearch connector to re-create indexes (#5304)
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src
Fix #6005 - Create ML Model Topology (#6080)
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tests
Fix #5885 - Provider loading fails for airflow <2.3 (#5927)
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__init__.py
[issue-1079] - MlFlow Connector (#1677)
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airflow.cfg
Fix #5516: Refactor elasticsearch indexes to be same as entity specifications (#5573)
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Dockerfile
[Fix] Removed volume instructions from dockerfile. (#5851)
2022-07-05 18:12:56 +05:30
ingestion_dependency.sh
Fix #3259: Added option in CLI to ingest sample data (#3616)
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LICENSE
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README.md
[issue-1698] - Airflow DockerOperator setup (#1730)
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setup.cfg
Fix #3395 - Profiler linting (#5177)
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setup.py
Fix #5885 - Provider loading fails for airflow <2.3 (#5927)
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sonar-project.properties
Sonar Base Path (#5189)
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README.md

This guide will help you setup the Ingestion framework and connectors
This guide will help you setup the Ingestion framework and connectors

Python version 3.8+

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