High-Speed Data Engineering with ClickHouse

Description

As a data engineer, you know the value of fast, flexible analytics — and you've probably heard that ClickHouse is built for exactly that. But what does it really take to make it work in your stack?

Abstract

As a data engineer, you know the value of fast, flexible analytics — and you've probably heard that ClickHouse is built for exactly that. But what does it really take to make it work in your stack? In this instructor-led, hands-on workshop, we'll take you deep into the core mechanics of ClickHouse, from data modeling and ingestion to architecture and performance tuning. You'll walk away not just knowing how to use ClickHouse — but understanding why it works the way it does, and how to use it effectively in production. What you'll learn: - How ClickHouse handles massive scale through its architecture, indexing, and storage engine design - Strategies for modeling and inserting data that won't backfire as your volumes grow - How to work with structured files, object storage, and efficient query patterns - Use cases like analytics pipelines, observability systems, and cloud-native data lakes (time permitting) This training includes: - Getting Started: Install ClickHouse, run your first queries, explore the formats - Modeling Data: MergeTree tables, primary keys, granules, and when they matter - Ingest at Scale: Table engines, async inserts, schema design, and best practices - Use Cases: From raw files to real insights — hands-on walkthroughs Hands-on Labs: - Querying data directly from object storage - Modeling and inserting UK property data - Building tables with S3 and exploring transform patterns

Key Takeaways

• Understand ClickHouse architecture and performance tuning
• Learn data modeling strategies for massive scale
• Master ingestion patterns and best practices
• Get hands-on experience with real-world use cases
• Explore analytics pipelines, observability systems, and cloud-native data lakes

Prerequisites

• Basic understanding of data engineering concepts
• Familiarity with SQL
• Laptop with internet access for hands-on labs

Required Materials

• Laptop with internet access
• ClickHouse installation (instructions provided)
• Basic SQL knowledge