Typical stream computing mainly focuses on the processing scenario of table model, but how to process and analyze the flow of graph model is still difficult to support. This share mainly introduces Ant’s self-developed streaming graph engine GeaFlow, and how GeaFlow’s ability to build a streaming graph query language around Apache Calcite and Apache Gremlin. It will also share the practice and application of flow graph computing in ants.

Speakers:

Pan Zhenxuan: Ant Group, Senior technical expert, Pan Zhenxuan (Taichu), senior technical expert of Ant Financial, is now in charge of the flow map computing team of the Ant map computing department. He joined the data platform of Ali Group in 2012 and the Data Technology Department of Ant Group in 2016. He has experienced the evolution of real-time computing of Ali and Ant from 0 to 1. Since the end of 2017, he has been responsible for the construction of streaming graph system and team, and built Ant’s streaming graph system from 0 to 1. Have an in-depth understanding of real-time computing and graph computing as well as upper level application scenarios.