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Fix Airbyte -> Airflow typo in the documentation (#20148)
Co-authored-by: Maxim Logvinenko <logarithm@users.noreply.github.com> Co-authored-by: Suman Maharana <sumanmaharana786@gmail.com>
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@ -11,9 +11,9 @@ availableFeatures=["Pipelines", "Pipeline Status", "Lineage", "Owners"]
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unavailableFeatures=["Tags"]
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/ %}
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In this section, we provide guides and references to use the Airbyte connector.
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In this section, we provide guides and references to use the Airflow connector.
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Configure and schedule Airbyte metadata and profiler workflows from the OpenMetadata UI:
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Configure and schedule Airflow metadata and profiler workflows from the OpenMetadata UI:
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- [Requirements](#requirements)
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- [Metadata Ingestion](#metadata-ingestion)
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@ -47,8 +47,8 @@ Instead, just run `pip3 install "openmetadata-ingestion"`.
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## Metadata Ingestion
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All connectors are defined as JSON Schemas.
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[Here](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/entity/services/connections/pipeline/airbyteConnection.json)
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you can find the structure to create a connection to Airbyte.
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[Here](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/entity/services/connections/pipeline/airflowConnection.json)
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you can find the structure to create a connection to Airflow.
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In order to create and run a Metadata Ingestion workflow, we will follow
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the steps to create a YAML configuration able to connect to the source,
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@ -59,7 +59,7 @@ The workflow is modeled around the following
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### 1. Define the YAML Config
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This is a sample config for Airbyte:
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This is a sample config for Airflow:
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{% codePreview %}
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@ -11,9 +11,9 @@ availableFeatures=["Pipelines", "Pipeline Status", "Lineage", "Owners"]
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unavailableFeatures=["Tags"]
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/ %}
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In this section, we provide guides and references to use the Airbyte connector.
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In this section, we provide guides and references to use the Airflow connector.
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Configure and schedule Airbyte metadata and profiler workflows from the OpenMetadata UI:
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Configure and schedule Airflow metadata and profiler workflows from the OpenMetadata UI:
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- [Requirements](#requirements)
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- [Metadata Ingestion](#metadata-ingestion)
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@ -47,8 +47,8 @@ Instead, just run `pip3 install "openmetadata-ingestion"`.
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## Metadata Ingestion
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All connectors are defined as JSON Schemas.
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[Here](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/entity/services/connections/pipeline/airbyteConnection.json)
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you can find the structure to create a connection to Airbyte.
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[Here](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/entity/services/connections/pipeline/airflowConnection.json)
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you can find the structure to create a connection to Airflow.
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In order to create and run a Metadata Ingestion workflow, we will follow
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the steps to create a YAML configuration able to connect to the source,
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@ -59,7 +59,7 @@ The workflow is modeled around the following
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### 1. Define the YAML Config
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This is a sample config for Airbyte:
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This is a sample config for Airflow:
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{% codePreview %}
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@ -11,9 +11,9 @@ availableFeatures=["Pipelines", "Pipeline Status", "Lineage", "Owners"]
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unavailableFeatures=["Tags"]
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/ %}
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In this section, we provide guides and references to use the Airbyte connector.
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In this section, we provide guides and references to use the Airflow connector.
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Configure and schedule Airbyte metadata and profiler workflows from the OpenMetadata UI:
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Configure and schedule Airflow metadata and profiler workflows from the OpenMetadata UI:
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- [Requirements](#requirements)
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- [Metadata Ingestion](#metadata-ingestion)
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@ -47,8 +47,8 @@ Instead, just run `pip3 install "openmetadata-ingestion"`.
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## Metadata Ingestion
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All connectors are defined as JSON Schemas.
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[Here](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/entity/services/connections/pipeline/airbyteConnection.json)
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you can find the structure to create a connection to Airbyte.
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[Here](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/entity/services/connections/pipeline/airflowConnection.json)
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you can find the structure to create a connection to Airflow.
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In order to create and run a Metadata Ingestion workflow, we will follow
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the steps to create a YAML configuration able to connect to the source,
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@ -59,7 +59,7 @@ The workflow is modeled around the following
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### 1. Define the YAML Config
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This is a sample config for Airbyte:
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This is a sample config for Airflow:
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{% codePreview %}
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