ClickHouse BUILD hands-on workshop - Singapore

Date: Tuesday, July 28, 2026
Time: 8:30 a.m. - 12:30 p.m.
Venue: Singapore (Register your interest and receive details once your spot is confirmed)

Ready to go from zero to building with one of the world's fastest analytical databases? The ClickHouse BUILD Workshop is an immersive 3-hour, in-person experience that combines foundational learning with practical application. The theme: you'll build AI with AI — using agentic coding tools to create AI-powered applications on top of ClickHouse.

We'll open with a guided walkthrough of what ClickHouse is and what it can do across real-time analytics, observability, AI/ML, data warehousing, and high-performance data applications. From there, we move into the build: working alongside ClickHouse experts and your own AI coding assistant, you'll stand up a complete, end-to-end stack on top of ClickHouse.

Rather than stopping at theory, you'll use agentic coding tools to build real AI-powered applications — an Agentic SRE setup and a GenBI (generative business intelligence) setup — from the ground up. By the end of the session you'll walk away with a running prototype, a deeper understanding of ClickHouse's architecture and capabilities, and a reusable project you can take back to your team and extend into production.

Key Takeaways

• Master the fundamentals of ClickHouse architecture, data ingestion, and high-performance querying.
• Learn to build AI with AI — driving agentic coding tools to design, wire up, and ship applications on ClickHouse.
• Build AI-powered applications — Agentic SRE and GenBI — step by step with guidance from ClickHouse experts, applying best practices along the way.
• Leave with a working prototype and reusable codebase you can customize and extend for your own projects.

Who Is This For: Data Engineers; Software Engineers & Full-Stack Developers; Data Analysts & Analytics Engineers; Platform, DevOps & SRE Engineers; AI/ML Engineers & Data Scientists; Technical Architects & Engineering Leaders.

Prerequisites: Basic coding experience in SQL OR Python OR JavaScripts. Knowledge and familiarity with software development or data engineering concepts are highly recommended.