diff --git a/openmetadata-docs/content/v1.3.x/developers/contribute/build-code-and-run-tests/ingestion-framework.md b/openmetadata-docs/content/v1.3.x/developers/contribute/build-code-and-run-tests/ingestion-framework.md index 5e2520632d6..79efc807f43 100644 --- a/openmetadata-docs/content/v1.3.x/developers/contribute/build-code-and-run-tests/ingestion-framework.md +++ b/openmetadata-docs/content/v1.3.x/developers/contribute/build-code-and-run-tests/ingestion-framework.md @@ -93,7 +93,7 @@ Then, you can prepare `Run Configurations` to execute the ingestion as you would {% image src="/images/v1.3/developers/contribute/build-code-and-run-tests/pycharm-run-config.png" alt="PyCharm run config" caption=" " /%} Note that in the example we are preparing a configuration to run and test Superset. In order to understand how to run -ingestions via the CLI, you can refer to each connector's [docs](/connectors/dashboard/superset/cli). +ingestions via the CLI, you can refer to each connector's [docs](/connectors/dashboard/superset). The important part is that we are not running a script, but rather a `module`: `metadata`. Based on this, we can work as we would usually do with the CLI for any ingestion, profiler, or test workflow. diff --git a/openmetadata-docs/content/v1.3.x/how-to-guides/data-lineage/workflow.md b/openmetadata-docs/content/v1.3.x/how-to-guides/data-lineage/workflow.md index 18c8b8879fe..3aae72cc129 100644 --- a/openmetadata-docs/content/v1.3.x/how-to-guides/data-lineage/workflow.md +++ b/openmetadata-docs/content/v1.3.x/how-to-guides/data-lineage/workflow.md @@ -72,7 +72,7 @@ After clicking Next, you will be redirected to the Scheduling form. This will be ## dbt Ingestion -We can also generate lineage through [dbt ingestion](/connectors/ingestion/workflows/dbt/ingest-dbt-ui). The dbt workflow can fetch queries that carry lineage information. For a dbt ingestion pipeline, the path to the Catalog and Manifest files must be specified. We also fetch the column level lineage through dbt. +We can also generate lineage through [dbt ingestion](/connectors/ingestion/workflows/dbt). The dbt workflow can fetch queries that carry lineage information. For a dbt ingestion pipeline, the path to the Catalog and Manifest files must be specified. We also fetch the column level lineage through dbt. You can learn more about [lineage ingestion here](/connectors/ingestion/lineage).