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AnalysisData engineering & the warehouse/lakehousedbtGoogle Cloud
dbt Labs Blog · Read source ↗

Google Cloud is integrating BigQuery's AI SQL functions into dbt pipelines, allowing users to perform tasks like sentiment scoring and generating product briefings using large language models.

MyDataWork POV — The idea of embedding generative AI directly into dbt pipelines through plain SQL sounds intriguing, but it's a leap to assume seamless execution. Google's promise of sentiment scoring and LLM-generated briefings requires more than just SQL functions; it demands rigorous testing and validation to ensure accuracy and reliability. The real-world effectiveness of these AI-driven transformations remains unproven, especially in diverse and complex data environments.
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MyDataWork users could leverage the automatic cataloging of dbt pipeline outputs to track and manage the AI-driven transformations, ensuring they remain transparent and auditable. Explore MyDataWork ↗
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