Real-Time Analytics System (Kafka and ClickHouse)
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Stage One — When Real-Time Is Warranted
The Honest Case for Real-Time
Preview
Where Batch Is Still the Right Answer
Reference Architecture
3 lessons
Stage Two — The Log and Streaming Layer
How the Distributed Log Works
Partitioning and Keys
Schemas and Compatibility
3 lessons
Stage Three — The Real-Time Analytical Database
Why Columnar Databases Are Fast
Table Design and Sort Keys
Ingestion Patterns
3 lessons
Stage Four — Stream Processing and Correctness
Windowing and Time
Delivery Guarantees and Idempotence
Joins Enrichment and State
3 lessons
Stage Five — Serving Queries at Low Latency
Query Patterns That Stay Fast
Concurrency and Resource Isolation
APIs and What Users Actually See
3 lessons
Stage Six — Operating in Production
Monitoring the Pipeline
Scaling and Failure Handling
Cost Control and the Career Path
3 lessons
Stage Five — Serving Queries at Low Latency
APIs and What Users Actually See
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