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Querying Databricks Apache Iceberg Tables with the borderless Lakehouse
Enterprise organizations often leverage multiple data platforms, including Databricks, to execute heavy Apache Spark jobs alongside BigQuery to power highly concurrent analytics workloads. Historically, bridging these systems often meant building complex pipelines to copy data between environments. This approach increases storage costs, introduces latency, and fragments security controls. With Google Cloud’s…