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OpenMetadata/ingestion
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Mayur Singal 5a3fcafb3b
Snowflake Mark Partitioned Tables (#7021) 
Snowflake Mark Partitioned Tables (#7021)
2022-08-30 14:35:09 +02:00
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connectors
Fix#6027: Fix logging in metadata package modules except ingestion and orm_profiler (#6970)
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examples
Fix (#6984) doc links in OpenMetaData (#6986)
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pipelines
Revert Rename on MetadataEs (#6537)
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src
Snowflake Mark Partitioned Tables (#7021)
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tests
Snowflake Mark Partitioned Tables (#7021)
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__init__.py
[issue-1079] - MlFlow Connector (#1677)
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.coveragerc
Prepare CI for Airflow APIs (#6240)
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airflow.cfg
Fix#6517: Add clusterName property to the application config yaml (#6610)
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Dockerfile
Configured ODBC drivers (#6924)
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Dockerfile_local
Fix Profiler for json or variant types (#7033)
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ingestion_dependency.sh
Fix #3259: Added option in CLI to ingest sample data (#3616)
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LICENSE
Ingestion Setup.py modification
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README.md
Fix (#6984) doc links in OpenMetaData (#6986)
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setup.cfg
Fix #3395 - Profiler linting (#5177)
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setup.py
Fix #6906 - Add Nifi connector (#6956)
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sonar-project.properties
Fix#5924: Implement secret manager for Airflow REST Plugin (#6128)
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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/openmetadata/connectors