
BigTable
PRODFeature List
✓ Metadata
✕ Query Usage
✕ Lineage
✕ Column-level Lineage
✕ Data Profiler
✕ Data Quality
✕ Owners
✕ dbt
✕ Tags
✕ Stored Procedures
✕ Sample Data
✕ Auto-Classification
How to Run the Connector Externally
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. If, instead, you want to manage your workflows externally on your preferred orchestrator, you can check the following docs to run the Ingestion Framework anywhere.Requirements
Python Requirements
To run the BigTable ingestion, you will need to install:GCP Permissions
To execute metadata extraction and usage workflow successfully the user or the service account should have enough access to fetch required data. Following table describes the minimum required permissions| # | GCP Permission | Required For |
|---|---|---|
| 1 | bigtable.instances.get | Metadata Ingestion |
| 2 | bigtable.instances.list | Metadata Ingestion |
| 3 | bigtable.tables.get | Metadata Ingestion |
| 4 | bigtable.tables.list | Metadata Ingestion |
| 5 | bigtable.tables.readRows | Metadata Ingestion |