The post provides a step-by-step tutorial on setting up a real-time data pipeline utilizing Kafka, GlassFlow, and ClickHouse. It focuses on resolving duplicate data issues in streaming pipelines through GlassFlow's deduplication technique, enhancing performance and data integrity before storage.
Table of contents
Use Glassgen to simulate noisy data, Kafka to stream it, and GlassFlow to deduplicate and clean it before storage1. Objective2. Why ClickHouse and Why GlassFlow?3. A friendly use case4. What is the problem statement?5. How to Set Up and implement a pipeline with GlassFlowSort: