Data Connectors
A Data Connector represents a location from and to which data can be read and written. For example, an AWS S3 bucket or a Google Cloud Storage bucket. By itself, a Data Connector does nothing, but paired with a batch job or batch exporter, it provides a flexible way to read or export data. When creating a Data Connector, credentials must be provided that grant the required access (read, write, or both).
The following data connector and credential types are currently supported:
| Data Connector Type | Credentials Type |
|---|---|
| Amazon S3 Bucket | IAM User Access Key |
| Google Cloud Storage Bucket | Service Account Credentials |
| Azure Blob Storage Container | Application Principal Client Secret Credentials |
| Mysql Database | Database connection URI |
| Postgresql Database | Database connection URI |
| BigQuery | BigQuery connection URI |
For examples on how to create and use these Data Connectors, see the Data Connectors quickstart, or the CLI reference for data connectors.