Flink TiDB: A Scale-Out Real-Time Data Warehouse for Second-Level Analyti

4 years ago dzone.com

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Companies can use real-time data warehouses to implement real-time Online Analytical Processing (OLAP) analytics, real-time data panels, real-time application monitoring, and real-time data interface services.

Thanks to Flink 1.11's enhanced support for the SQL language and TiDB's HTAP capabilities, we've combined Flink and TiDB to build an efficient, easy-to-use, real-time data warehouse that features horizontal scalability and high availability. In this article, I'll describe what a real-time data warehouse is, the Flink + TiDB real-time data warehouse's architecture and advantages, this solution's real-world case studies, and a testing environment with Docker Compose.

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