Taking the BigQuery Data Engineering Agent to the Next Level: Planning, Optimization and Troubleshooting
How Plan-and-Act mode, multi-agent pipeline optimization, and closed-loop Dataform troubleshooting transform autonomous data engineering.
A searchable, tag-filtered directory of enterprise architecture blueprints, official Google Cloud assets, database tools, and hands-on codelabs curated by Lucia Subatin.
Filter by tag (#BigQuery, #AgenticAI, #GeminiCLI, #MCP, #Spanner) or use the search bar below.
How Plan-and-Act mode, multi-agent pipeline optimization, and closed-loop Dataform troubleshooting transform autonomous data engineering.
Watch how AI-powered data engineering agents automatically map schemas, generate metadata, and validate transformation pipelines in BigQuery.
Comprehensive guide to configuring the Model Context Protocol (MCP) Toolbox for Databases with Gemini CLI for rapid schema introspection and AlloyDB/BigQuery orchestration.
Architecting stateful enterprise AI agents with long-term memory banks, vector index retrieval, and RAG validation on Google Cloud.
Architectural breakdown of Spanner Omni across distributed environments, transactional consistency, and hybrid multi-cloud deployment patterns.
Deep dive into orchestrating multi-agent collaboration, containerized agent sandboxes, and low-latency communication on Google Kubernetes Engine.
Uncovering complex entity relationships, graph traversal, and native GQL pattern matching directly inside your enterprise BigQuery lakehouse.
Foundational architectural walkthroughs on accelerating data warehouse migrations and enterprise operational data models onto BigQuery.
Guest appearance on the official GCP Podcast exploring enterprise resource planning integrations, database scaling, and real-time streaming analytics.
Hands-on bootcamp demonstrating prompt design, automation with Google Workspace Gemini integrations, and practical productivity enhancements.