Summary

The article explores the differences between stream processing and real-time OLAP systems, emphasizing their complementary roles in modern data architectures. It discusses when to use Apache Flink for continuous data transformations versus using OLAP databases like ClickHouse and Apache Pinot for interactive analytics. The author highlights the importance of a durable event streaming backbone, such as Apache Kafka, to connect these systems effectively. Key takeaways include understanding computation boundaries and avoiding common pitfalls in architecture design.

💭 Your Thoughts

Good hight level summary for real time architecture.

Technologies Referenced