professional-cloud-data-engineer
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An enterprise analytics team orchestrates daily data pipeline workflows in Cloud Composer to refresh BigQuery datasets and publish operational dashboards. The data engineering team needs to operationalize these reporting pipelines under strict governance requirements:
Which solution should the team implement?
This solution establishes automated metadata tracking, governance, and secure pipeline orchestration by combining Cloud Composer, Dataplex Universal Catalog, and the Data Lineage API using native OpenLineage integration.
StudyCerts
StudyCerts--enable-cloud-data-lineage-integration) automatically activates the preinstalled apache-airflow-providers-openlineage library. Standard operators like BigQueryInsertJobOperator automatically generate and emit lineage events to Dataplex without requiring custom code.inlets and outlets attributes of PythonOperator tasks with BigQueryTable objects (or AUTO for upstream dependencies), custom execution code explicitly registers lineage relations in the catalog.roles/composer.worker) role to a dedicated user-managed service account provides the minimum IAM permissions required for environment operation, PyPI package handling, and Data Lineage API write operations.This architecture leverages fully managed Google Cloud services to achieve automated pipeline tracking with zero custom backend maintenance. It guarantees strict governance while maintaining robust operational SLAs for analytical reporting.
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