Gemini in BigQuery

What Gemini in BigQuery does

• Generates data insights, an automated way to uncover patterns using queries generated from table metadata.
• Lets you chat with your data in natural language through conversational analytics.
• Supports data agents configured with custom metadata, instructions, glossary terms and verified queries.
• Starts conversations directly with data sources such as tables and views.

What people use it for

• Start exploring a new table

  Use data insights to get first queries from table metadata.

• Ask questions in plain language

  Use conversational analytics, and read the SQL it produces.

• Encode business logic

  Build a data agent with a glossary and verified queries for your team.

Who it suits

• Data analysts and engineers who already use BigQuery.
• Teams that want business users to ask questions of governed data.

Plans and access

Google says Gemini in BigQuery is part of the Gemini for Google Cloud product suite. Features, availability and pricing change, so read Google Cloud’s current documentation. Check generated SQL and results before decisions depend on them.

How to start

1. 1Read Google’s overview of Gemini in BigQuery. Open
2. 2Try data insights on a table you know well.
3. 3Ask one question in conversational analytics and read the SQL.
4. 4Add verified queries before sharing a data agent with others.

Keep learning on Infrato

• Course: AI for Data Analysts
• Path: AI for data analysts
• Directory: 19 courses from Google
• More tools for data and analysis

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