Exploring the new BigQuery Data Canvas (preview) in a recent Google Cloud Data & Analytics demo was an exciting experience. By integrating Gemini in BigQuery, Looker data models, and Looker Studio, a collaborative data exploration environment was created, enabling data analysts and engineers to craft actionable "data mind maps."
Key Features of BigQuery Data Canvas
- Natural Language Interface: Allows users to discover, transform, query, and visualize data using natural language.
- Graphical Interface: Provides a directed acyclic graph (DAG) view for analysis, mapping the workflow to the user's mental model.
- Iterative Querying: Enables iteration on query results and supports multiple branches of inquiry in a single workspace.
- User-Friendly: Designed to facilitate the data-to-insights journey without requiring technical knowledge of specific tools.
- Integration with Dataplex: Utilizes Dataplex metadata to identify appropriate tables based on natural language.
Functionality
- Gemini Integration: Helps in finding data, creating SQL queries, generating charts, and summarizing data.
Watch the video for detailed walkthrough👇
