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Thursday, May 13 • 07:30 - 08:00
Build a Scale-Out Real-Time Data Warehouse for Analytics Within Seconds by Combining Apache Flink + TiDB

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There is a growing demand for real-time data warehouses by data-driven companies to implement real-time Online Analytical Processing analytics, real-time data panels, and real-time application monitoring. However, the architecture of real-time data warehouses has long been thought complex and difficult to operate and maintain.

As an open source and distributed Hybrid Transactional/Analytical Processing (HTAP) database, TiDB can be used as a backbone storage for real-time data warehouse in multiple use: business dDataSsource, dimension table DdataSsource and the analytical database for summarized data. The combination of stream processing systems (e.g. Apache Flink) and TiDB could become an efficient, easy-to-use, real-time data warehouse that features horizontal scalability and high availability.

In this talk, Qi Zhi will deep dive into what a real-time data warehouse is, how TiDB powers real world real-time data warehouses and the patterns on combining streaming processing systems and TiDB.

avatar for Zhi Qi

Zhi Qi

Realtime Analytics R & D Engineer, PingCAP
Zhi Qi is a software engineer at PingCAP, working on Real-time Analytics and BigData Ecosystem of TiDB. He gave a speech about Flink TiDB real-time data warehouse at Flink Forward Asia 2020.

Thursday May 13, 2021 07:30 - 08:00 EDT
Room #4