Analyze unstructured data in BigQuery with ObjectRef
For data science, data engineering, and machine learning teams, unlocking the value of unstructured data, such as images, videos, audio, and documents, has historically meant managing siloed data pipelines for structured and unstructured data, and for analytics and AI/ML use cases. Even when files remain in Cloud Storage, running inference requires teams to orchestrate external machine learning workloads, only to face the complex, brittle challenge of stitching those structured inference outputs back into the data warehouse for analysis. This post-hoc data-stitching introduces significant operational overhead and database misalignment.
ObjectRef and multimodal data analytics in BigQuery are now in General Availability (GA), establishing BigQuery as a comprehensive, multimodal agentic data platform.
With ObjectRef, BigQuery natively bridges the gap between Cloud Storage and your analytical engine. You can represent unstructured data as native ObjectRef columns directly alongside your traditional relational columns. This unlocks a massive advantage over standalone model APIs by...
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