

ClickHouse + Apache Iceberg Workshop: Read & Write Lakehouse Tables (Experimental)
Freedom from Proprietary Formats with Open Table Technologies
Webinar Overview
Join us for a comprehensive technical workshop exploring ClickHouse's experimental Iceberg support and how open table formats are revolutionizing data engineering workflows. This hands-on session demonstrates unified lakehouse architectures with cross-engine compatibility.
Agenda
1. Foundation: Open Table Formats (15 minutes)
Apache Iceberg: What & Why
Freedom from proprietary formats (Parquet and Iceberg)
Iceberg use cases & Architecture Patterns
2. Technology Stack Introduction (10 minutes)
What is ClickHouse?
What is OLake (CDC)?
3. Comprehensive Demo: Unified Lakehouse Workflows (30 minutes)
Create Iceberg table using ClickHouse
Writes from ClickHouse to Iceberg
Read from ClickHouse and Spark SQL (cross-engine compatibility)
Dump entire table from ClickHouse into Iceberg
ETL: ClickHouse to S3, then Spark ingestion to same table
MySQL to same Iceberg table using OLake CDC
Iceberg time travel using ClickHouse
4. Production Considerations (10 minutes)
ClickHouse Iceberg limitations
ClickHouse Iceberg roadmap
5. Q&A Session (5 minutes)
About the Speakers
Shivji Kumar Jha - Staff Engineer, Nutanix
Founding engineer of Nutanix's data platform team with 30+ conference talks at Apache and CNCF events. Apache Pulsar committer with deep expertise in ClickHouse, distributed systems, and open-source database technologies.
Saurabh Ojha - MTS 2, Nutanix
Database internals expert with hands-on experience in lakehouse integrations. Recent speaker at Lakehouse Days on Apache Iceberg implementations across PostgreSQL and ClickHouse systems.
Key Takeaways
Open Format Strategies: Understanding Apache Iceberg's role in eliminating vendor lock-in
Cross-Engine Compatibility: Practical patterns for unified data access across ClickHouse, Spark, and other engines
Production Implementation: Real-world considerations for ClickHouse Iceberg deployments
CDC Integration: How OLake enables seamless MySQL to Iceberg replication workflows
Time Travel Capabilities: Leveraging Iceberg's versioning with ClickHouse queries
Who Should Attend
Data Engineers building lakehouse architectures and evaluating open table formats
Platform Engineers working with ClickHouse clusters and multi-engine data systems
Analytics Engineers interested in cross-engine compatibility and unified data access
Database Administrators managing ClickHouse deployments and exploring Iceberg integration
Architects designing modern data platforms with vendor-agnostic storage strategies
This workshop emphasizes hands-on demonstration of unified lakehouse workflows using open table formats, with practical insights for production deployment.