Google Cloud launches preview of Data Cloud connectors in Gemini for natural-language enterprise data queries

[Google Cloud] Data Cloud connectors in Gemini for business are now in preview, giving business users and analysts a direct way to query live enterprise data in natural language, according to Google Cloud. The connectors work with Knowledge Catalog to locate relevant data, interpret the question and execute permission-scoped queries under the user's identity, enforcing row- and column-level security and respecting end-user credentials. Users can pull data from BigQuery, operational databases including Spanner, AlloyDB and Cloud SQL, and governed data from Looker, then move findings into tools such as Google Docs, Gmail drafts or Google Slides. According to Google Cloud, the BigQuery connector also supports querying open table formats including Apache Iceberg, Delta Lake and Parquet, as well as cross-cloud datasets in AWS or Azure.