Technical Session: ClickHouse + Apache Iceberg

Webinar Overview
​As ClickHouse crosses a major milestone with experimental write support to Apache Iceberg tables (v24.7+), we're entering a new era where ClickHouse can serve as both a hot and cold data engine. This technical session explores the implications of this breakthrough for modern data lakehouse architectures.

​Agenda

1. ​The Lakehouse Revolution: Why Write Support Matters
2. ​ClickHouse 24.7+ Write Capabilities Deep Dive
3. ​Core Features, Support Operations, Current Limitations
4. ​Technical Architecture Patterns
5. ​Streaming Ingestion Patterns
6. ​Data Preprocessing Patterns
7. ​Hybrid Analytics Pattern
8. ​Cross Engine Compatibility
9. ​Read Ecosystem and Advanced Features
10. ​Real-World Lakehouse Use case

​Who Should Attend

1. ​Data Engineers working with real-time analytics and data lake architectures
2. ​Platform Engineers evaluating ClickHouse for lakehouse implementations
3. ​Analytics Engineers interested in unified query engines for hot/cold data
4. ​Database Administrators managing ClickHouse clusters and exploring Iceberg integration
5. ​Architects designing modern data platforms with open table formats

​Key Takeaways
​By the end of this session, attendees will understand:

1. ​How to leverage ClickHouse's experimental Iceberg write support in production-ready scenarios
2. ​Technical considerations for implementing unified lakehouse architectures
3. ​Performance characteristics and limitations of the current implementation
4. ​Integration patterns with existing data infrastructure and tooling
5. ​Roadmap insights for future ClickHouse lakehouse capabilities