Use Case

11:30am-12:10pm UTC+8 , November 29

Powering Zhaopin's Real-time Search Recommendations with Apache Pulsar SQL

In the search recommendations business of Zhaopin, we use Apache Pulsar to perform full update and real-time synchronization of hundreds of millions of data to ensure the final consistency of data among multiple clusters of search recommendation. At the same time, it is more convenient to use Pulsar SQL to query and analyze records. At the same time, Pulsar is also used for data preparation, processing and feature extraction tasks in machine learning model training. This session mainly shares the application of Apache Pulsar in the search recommendation of Zhaopin.com.

Speaker

Shiming Li

Platform Engineer at Zhaopin.