Fix spline docs (#11756)

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Mayur Singal 2023-05-25 14:32:42 +05:30 committed by GitHub
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@ -64,6 +64,7 @@ OpenMetadata can extract metadata from the following list of 55 connectors:
- [Glue](/connectors/pipeline/glue-pipeline)
- [Domo Pipeline](/connectors/pipeline/domo-pipeline)
- [NiFi](/connectors/pipeline/nifi)
- [Spline](/connectors/pipeline/spline)
## ML Model Services

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@ -15,6 +15,7 @@ This is the supported list of connectors for Pipeline Services:
- [Domo Pipeline](/connectors/pipeline/domo-pipeline)
- [Databricks Pipeline](/connectors/pipeline/databricks-pipeline)
- [NiFi](/connectors/pipeline/nifi)
- [Spline](/connectors/pipeline/spline)
If you have a request for a new connector, don't hesitate to reach out in [Slack](https://slack.open-metadata.org/) or
open a [feature request](https://github.com/open-metadata/OpenMetadata/issues/new/choose) in our GitHub repo.

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@ -21,6 +21,17 @@ To deploy OpenMetadata, check the Deployment guides.
To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with
custom Airflow plugins to handle the workflow deployment.
The Spline connector support lineage of data source of type `jdbc` or `dbfs` i.e. The spline connector would be able to extract lineage if the data source is either a jdbc connection or the data source is databricks instance.
{% note %}
Currently we do not support data source of type aws s3 or any other cloud storage, which also means that the lineage for external tables from databricks will not be extracted.
{% /note %}
You can refer [this](https://github.com/AbsaOSS/spline-getting-started/tree/main/spline-on-databricks) documentation on how to configure databricks with spline.
### Python Requirements
To run the Spline ingestion, you will need to install:

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@ -21,6 +21,17 @@ To deploy OpenMetadata, check the Deployment guides.
To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with
custom Airflow plugins to handle the workflow deployment.
The Spline connector support lineage of data source of type `jdbc` or `dbfs` i.e. The spline connector would be able to extract lineage if the data source is either a jdbc connection or the data source is databricks instance.
{% note %}
Currently we do not support data source of type aws s3 or any other cloud storage, which also means that the lineage for external tables from databricks will not be extracted.
{% /note %}
You can refer [this](https://github.com/AbsaOSS/spline-getting-started/tree/main/spline-on-databricks) documentation on how to configure databricks with spline.
### Python Requirements
To run the Spline ingestion, you will need to install:

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@ -38,6 +38,17 @@ To deploy OpenMetadata, check the Deployment guides.
To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with
custom Airflow plugins to handle the workflow deployment.
The Spline connector support lineage of data source of type `jdbc` or `dbfs` i.e. The spline connector would be able to extract lineage if the data source is either a jdbc connection or the data source is databricks instance.
{% note %}
Currently we do not support data source of type aws s3 or any other cloud storage, which also means that the lineage for external tables from databricks will not be extracted.
{% /note %}
You can refer [this](https://github.com/AbsaOSS/spline-getting-started/tree/main/spline-on-databricks) documentation on how to configure databricks with spline.
## Metadata Ingestion
{% stepsContainer %}

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@ -525,6 +525,12 @@ site_menu:
url: /connectors/pipeline/domo-pipeline/airflow
- category: Connectors / Pipeline / Domo Pipeline / CLI
url: /connectors/pipeline/domo-pipeline/cli
- category: Connectors / Pipeline / Spline
url: /connectors/pipeline/spline
- category: Connectors / Pipeline / Spline / Airflow
url: /connectors/pipeline/spline/airflow
- category: Connectors / Pipeline / Spline / CLI
url: /connectors/pipeline/spline/cli
- category: Connectors / ML Model
url: /connectors/ml-model

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