Our Proven Process for ClickHouse
A structured process we rely on to build, tune and manage ClickHouse for real-world workloads.
1. Strategy & Planning
Define data volumes and patterns
Review pipeline and BI tools
Select deployment approach
2. Architecture Setup
Provision clusters and storage
Configure access and security
Build tables and partitions
3. Data Integration
Configure batch or streaming
Apply dbt or SQL transforms
Set up materialized views
4. Performance Optimization
Tune engines and indexing
Optimize heavy queries
Balance workloads and resources
Configure monitoring and alerts
Set backups and retention
Track freshness and growth
6. Support & Improvements
Engineer-led operational support
Review performance trends
Apply updates and enhancements
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