# BigQuery Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/bigquery
> Markdown URL: https://aitinkerers.org/technologies/bigquery.md
> Technology record last updated: 2026-02-23T20:58:04Z
> Generated: 2026-08-24T06:42:28Z

BigQuery is Google Cloud's fully managed, serverless enterprise data warehouse, enabling petabyte-scale analytics via ANSI SQL with zero infrastructure management.

BigQuery operates as a fully managed, serverless data platform, eliminating the need to provision or manage infrastructure: you focus on analysis, not operations. Its unique architecture decouples compute (via the Dremel engine) and storage (via Colossus), allowing independent scaling and cost control. This design enables analysts to query terabytes in seconds and petabytes in minutes, using familiar GoogleSQL. The platform supports flexible pricing (on-demand or flat-rate) and integrates advanced features like BigQuery ML for predictive analytics and BI Engine for high-speed dashboards, making it a unified solution for data warehousing and AI-driven insights.

- Official technology site: https://cloud.google.com/bigquery
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [The AI-First Development Workflow](https://st-louis.aitinkerers.org/talks/rsvp_VHAgcAJsbGY)

This presentation details a paradigm shift in software engineering where AI is the primary builder and the human is the Principal Orchestrator. The Core: It replaces traditional human team roles with specialized, adversarial AI agents. The Rigor: It implements the Planning Gauntlet (Architect/Critique/Revise) and the Hardening Cycle (Review/Fix/Test) to ensure that solo output meets industrial production standards. The Impact: It enables a single engineer to operate as a full-force squad, delivering mission-critical software with zero-drift and zero-bug tolerance. This presentation describes the workflow I've developed building production software using AI at my day job (IntelePeer) as well as in my side projects (IgnitionAI)

- Event context: AI Tinkerers – St. Louis Meetup: February 4, 2026 — 2026-02-04 — St. Louis
- Public talk page: https://st-louis.aitinkerers.org/talks/rsvp_VHAgcAJsbGY

## Related Technologies

- [Cloud Run](https://aitinkerers.org/technologies/cloud-run) ([Markdown](https://aitinkerers.org/technologies/cloud-run.md)) — 12 public demos
- [Cloud SQL](https://aitinkerers.org/technologies/cloud-sql) ([Markdown](https://aitinkerers.org/technologies/cloud-sql.md)) — 3 public demos
- [Cloud Storage](https://aitinkerers.org/technologies/cloud-storage) ([Markdown](https://aitinkerers.org/technologies/cloud-storage.md)) — 1 public demo
- [Firestore](https://aitinkerers.org/technologies/firestore) ([Markdown](https://aitinkerers.org/technologies/firestore.md)) — 4 public demos
- [Imagen](https://aitinkerers.org/technologies/imagen) ([Markdown](https://aitinkerers.org/technologies/imagen.md)) — 10 public demos
- [PostgreSQL](https://aitinkerers.org/technologies/postgresql) ([Markdown](https://aitinkerers.org/technologies/postgresql.md)) — 102 public demos
- [Pub/Sub](https://aitinkerers.org/technologies/pub-sub) ([Markdown](https://aitinkerers.org/technologies/pub-sub.md)) — 2 public demos
- [Vertex AI](https://aitinkerers.org/technologies/vertex-ai) ([Markdown](https://aitinkerers.org/technologies/vertex-ai.md)) — 31 public demos