Skip to content

Details

Watch how MCP + Claude Desktop + BigQuery can compress a full analytics workflow from hours to minutes - all through natural conversation with AI.

In this live demonstration, you'll see a complete analytics project unfold in real-time using the TheLook E-Commerce dataset: from initial question to validated SQL queries to interactive dashboards - in under 10 minutes.

What You'll See:
- Connecting MCP + Claude Desktop to BigQuery (live setup walkthrough)
- Natural language to SQL: No manual query writing
- Automated data quality checks and validation
- Auto-generated dashboards, reports, and summaries
- Troubleshooting common MCP configuration, auth, and performance issues

Who Should Attend:
Data analysts, analytics engineers, data engineers, and product managers who spend hours daily writing SQL, validating data, and building dashboards.

Format:
- 70% Live Demonstrations (real-time analytics workflow)
- 30% Best Practices & Implementation Guidance
- Open Q&A - bring your use cases and questions

Investment: 2 hours of your time
Value: Learn to save 3-4 hours daily on analytics tasks

This is a demo session, not a hands-on workshop. You'll watch, learn, and leave with the knowledge to implement this in your own environment.

Artificial Intelligence
Cloud Computing
Big Data
Data Analytics
Data Engineering

Members are also interested in