Google Cloud has made Conversational Analytics generally available for BigQuery and Looker. Additionally, a preview version is now accessible for AlloyDB, Cloud SQL, and Spanner. This move signifies a broader rollout of generative AI capabilities for data interaction across Google Cloud's data ecosystem.
The updated Conversational Analytics allows users to query data across various sources, including Lakehouse Managed Service tables, Apache Iceberg REST catalogs, and federated AWS S3 Unity Catalogs. This enables native querying of data regardless of whether it resides exclusively in Google Cloud or across multiple cloud providers.
For data practitioners, Conversational Analytics is integrated into BigQuery Studio, BigQuery Data Canvas, and Database Studio. Business teams can access these conversational capabilities directly within Looker, Data Studio, and Gemini Enterprise. Data teams can publish Conversational Analytics agents from various Google Cloud services directly into Gemini Enterprise, providing a centralized interface for business leaders to query complex data.
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Google Cloud announced the general availability of Conversational Analytics for BigQuery and Looker, and a preview for AlloyDB, Cloud SQL, and Spanner. This expansion allows users to query data across multi-cloud and database workloads using natural language, integrating with tools like BigQuery Studio and Gemini Enterprise. The update provides broader access to generative AI capabilities for data analysis within Google Cloud's ecosystem.