📊 ClickHouse Knowledge Transfer

Complete Training Series
Master ClickHouse from fundamentals to advanced production deployment. A comprehensive 6-8 week training program covering architecture, table engines, clustering, replication, optimization, and real-world migration scenarios.
10 Modules
66-88 Training Hours
6-8 Weeks
100+ Code Examples

📅 Training Timeline

Session Frequency: 2-3 sessions per week | Session Length: 2-3 hours each

WEEK 1
Module 1-2
Fundamentals & Table Engines
WEEK 2-3
Module 2-3
Data Modeling & Sharding
WEEK 3-4
Module 4
Replication & HA
WEEK 4-5
Module 5
Cluster Deployment
WEEK 5-6
Module 6
Query Optimization
WEEK 6-7
Module 7-8
Backup & DR
WEEK 7-8
Module 9-10
Kafka & Migration

🎓 Training Modules

01
Fundamentals & Architecture
⏱️ 4-6 hours | Week 1
Master ClickHouse basics, column-oriented storage concepts, and understand when to use ClickHouse vs traditional databases.
  • ClickHouse architecture overview
  • Column-oriented storage concepts
  • Installation and basic operations
  • MergeTree engine family
02
Table Engines & Data Modeling
⏱️ 6-8 hours | Week 1-2
Deep dive into MergeTree family engines, partitioning strategies, and schema design best practices for analytical workloads.
  • ReplacingMergeTree, SummingMergeTree
  • Partitioning and primary keys
  • Data types and codecs
  • TTL policies
03
Sharding Strategy & Distribution
⏱️ 6-8 hours | Week 2-3
Learn distributed table architecture, sharding key selection, and how to design scalable multi-shard clusters.
  • Distributed table architecture
  • Sharding key selection
  • Local vs distributed tables
  • Resharding strategies
04
Replication & High Availability
⏱️ 6-8 hours | Week 3-4
Build highly available systems with ReplicatedMergeTree, ClickHouse Keeper, and automatic failover mechanisms.
  • ReplicatedMergeTree engine
  • ClickHouse Keeper setup
  • Multi-replica configuration
  • Failover handling
05
Full Cluster Deployment
⏱️ 8-10 hours | Week 4-5
Deploy production-ready clusters with proper security, resource management, and monitoring infrastructure.
  • Production cluster topology
  • Security and user management
  • SSL/TLS configuration
  • Monitoring setup
06
Query Optimization & Performance
⏱️ 6-8 hours | Week 5-6
Master query optimization techniques, index utilization, and performance tuning for lightning-fast analytics.
  • Query execution pipeline
  • Index strategies
  • Materialized views
  • JOIN optimization
07
Backup, Recovery & PITR
⏱️ 4-6 hours | Week 6
Implement robust backup strategies, recovery procedures, and point-in-time recovery for data protection.
  • Backup strategies
  • Point-in-Time Recovery
  • Restore procedures
  • Backup automation
08
Disaster Recovery & Business Continuity
⏱️ 4-6 hours | Week 7
Design disaster recovery strategies, multi-datacenter setups, and ensure business continuity with proper RTO/RPO planning.
  • DR strategy and RTO/RPO
  • Multi-datacenter setups
  • Failover procedures
  • Geo-replication
09
Kafka-Based Real-Time Ingestion
⏱️ 6-8 hours | Week 7
Build real-time streaming pipelines with Kafka Engine, handle various message formats, and optimize throughput.
  • Kafka Engine setup
  • Materialized views with Kafka
  • Message format handling
  • Performance optimization

📚 Additional Resources

💻
Code Examples
Production-ready SQL examples, organized by module with comprehensive comments and best practices.
Browse SQL Examples
⚙️
Configuration Files
Complete config.xml, users.xml, and cluster configuration files for production deployments.
View Configs
🐳
Docker Setups
Docker Compose files for single-node, clusters, Kafka integration, and complete migration stacks.
Docker Configs
📝
Notion Guides
Concise markdown guides with theory, architecture diagrams, and quick references for each module.
Read Guides
📊
Roadmap PDF
Complete training roadmap with module breakdown, timelines, and learning objectives.
View Roadmap
🔗
Official Docs
Link to ClickHouse official documentation, community resources, and support channels.
Official Docs