Real-time analytics at Airbnb is fluid and straightforward. This talk describes the solutions developed using Thrift, Kafka, Spark Streaming, Druid and Superset. Along the way, we will do a full tour of Superset and get to understand how it surpassed Tableau to become the most popular analytics tool at Airbnb. Superset is an open source, enterprise-ready, data exploration, visualization and dashboarding web application that integrates nicely with Druid as well as any SQL-speaking database. Attendees will get to understand how realtime analytics work at Airbnb while getting an extensive demo of Superset.
Maxime Beauchemin recently joined Lyft as a Software Engineer after some time at Airbnb as a data engineer developing tools to help streamline and automate data-engineering processes. He is also the creator and lead committer on Apache Airflow and Apache Superset. He mastered his data-warehousing fundamentals at Ubisoft and was an early adopter of Hadoop/Pig while at Yahoo in 2007. More recently, at Facebook, he developed analytics-as-a-service frameworks around engagement and growth-metrics computation, anomaly detection, and cohort analysis. He’s a father of three, and in his free time, he’s a digital artist.