LINE's log analysis platform
Data is a very important asset to LINE, one of the most popular messaging applications in Asia. Wataru Yukawa explains how LINE gets the most out of its data using a Hadoop data lake and an in-house log analysis platform.
Talk Title | LINE's log analysis platform |
Speakers | Wataru Yukawa (LINE) |
Conference | Strata + Hadoop World |
Conf Tag | Make Data Work |
Location | Singapore |
Date | December 6-8, 2016 |
URL | Talk Page |
Slides | Talk Slides |
Video | |
Data is a very important asset to LINE, one of the most popular messaging applications in Asia. Wataru Yukawa explains how LINE gets the most out of its data using a Hadoop data lake and an in-house log analysis platform based on HDP (Hadoop, Hive), Presto, and Azkaban. Wataru offers an overview of the platform along with some useful tools created at LINE, including yanagishima, which helps analysts check data to create reports or find incorrect data.