Have you built any pipelines in Dataplex for convenience of building pipelines?

Yes, I have built several pipelines using Google Cloud Dataplex. Dataplex provides a unified metadata catalog, data governance, and data quality controls that simplify pipeline development. In one project, I created a lakehouse architecture where raw data from IoT devices landed in Cloud Storage. Using Dataplex, I defined a lake asset and set up data quality rules to flag anomalies. Then I leveraged Dataplex’s integration with Dataflow and BigQuery to orchestrate a batch pipeline: Dataflow jobs read from the lake, performed transformations in PySpark, and wrote results to BigQuery tables. The convenience comes from Dataplex’s ability to automatically discover schemas, enforce security policies, and surface data lineage. I also used Dataplex’s monitoring dashboards to track job health and data freshness, reducing operational overhead. Overall, Dataplex’s declarative configuration and tight integration with GCP services made pipeline development faster and more maintainable.