Naver.com is the largest search engine in Korea, with a 70% share of the Korean search market, and it handles billions of pages and events everyday. Jason Heo and Dooyong Kim offer an overview of Naver’s web analytics system, built with Druid. Jason and Dooyong outline the architecture, share techniques for speedup, explain how they implemented Spark Druid Connector, demonstrate how to use it, and explain how they extended Druid to solve the challenges their team faced.
Jason Heo is a senior software engineer at Naver, where he develops analytics systems and graph databases for internal use. Previously, he worked at a number of startups. Jason helped MySQL become widely used in Korea and wrote a book on MySQL. Nowadays, he mainly uses Spark, Elasticsearch, Kudu, and Druid to build analytic systems.
Dooyong Kim is a software engineer at Naver, where he has been working on building a Spark- and Druid-based OLAP platform. Previously, he was a search engineer at ecommerce search platform Coupang, where he implemented several Apache Solr search infrastructure-related projects and researched a Spark and Solr integrated indexing mechanism. Dooyong is currently interested in MPP and advanced file formats for big data processing.
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