Topic of this issue:
Use of ClickHouse in A/B experiments and model training
Time: 19:00-20:00, August 28, 2020
As A prior experimental system, A/B experiment is widely used in various products to support rapid iteration of business functions. Similarly, modern machine learning systems need to provide users with a free, flexible, fully extensible and fast experimental platform in order to support fast and changeable business requirements. This brings about the problems of experimental indicators, data expansion and rapid feedback of experimental results.
In this presentation, you will see how ClickHouse supports fast, real-time, flexible, and multi-dimensional metrics calculations from the perspective of business requirements, data flow, and computing models.
Lecturer of this issue:
Jian Wu bytedance ClickHouse R&d Engineer
Joining ByteDance OLAP team in 2019, he has long been engaged in big data analysis, Impala, Spark and ClickHouse community contributor. Currently, he is responsible for the improvement of Bytedance’s ClickHouse engine and Catalog service.
Registration and live broadcast address:
Live.bytedance.com/8889/845223…
Participation:
Download the ClickHouse Fly Book APP, scan the code and join the ClickHouse Fly Book Group
Before the live broadcast starts, we will provide live link within the group, so that everyone can receive timely notification.
During the live broadcast, we will collect interactive questions from the group and conduct lottery and other activities.
After the live broadcast, we will also share guest speech videos and text highlights in the group.
More wonderful sharing:
Shanghai salon review | core of bytes to beat on the Spark SQL optimization practice
Shanghai salon review | bytes to beat level how to optimize all nodes HDFS platform
Shanghai salon review | Apache Kylin principle is introduced to share with the new architecture (Kylin On Parquet)
Review | Shanghai salon Redis high-speed cached in the application of the large data scenarios
Welcome to the Bytedance technical team