LINE—one of the most popular messaging applications in Asia—offers many services, such as its news application. These services sometimes depend on real-time processing.
Wataru Yukawa offers an overview of LINE’s two-layer log analysis platform, consisting of a batch layer, which uses Hive, Presto, and Hadoop, and a web tracking system, which uses the JavaScript SDK, NGINX Fluentd, Kafka, Elasticsearch, and Hadoop. Wataru focuses on the latter to explain how it helps with batch and real-time processing.
Wataru Yukawa is a data engineer at LINE, where he is creating and maintaining a log analysis platform based on Hadoop, Hive, Fluentd, Presto, and Azkaban and working on aggregating log and RDBMS data with Hive and reporting using BI tools.
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My slide is https://www.slideshare.net/wyukawa/strata2018london-98116246