Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

Batch and real-time processing in LINE's log analysis platform

Wataru Yukawa (LINE)
17:2518:05 Wednesday, 23 May 2018
Data engineering and architecture
Location: Capital Suite 2/3 Level: Beginner

Who is this presentation for?

  • Data engineers

Prerequisite knowledge

  • Familiarity with batch and real-time processing concepts and techniques

What you'll learn

  • Explore LINE's web tracking system


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.

Photo of Wataru Yukawa

Wataru Yukawa


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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Picture of Wataru Yukawa
Wataru Yukawa | DATA ENGINEER
22/05/2018 19:42 BST

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