Abstract: Airbnb developed Superset to provide all employees with interactive access to data while minimizing friction. Superset provides a quick way to intuitively visualize datasets by allowing users to create and share interactive dashboards; a rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities; an extensible, high-granularity security model allowing intricate rules on who can access which features and integration with major authentication providers (database, OpenID, LDAP, OAuth, and REMOTE_USER through Flask AppBuilder); a simple semantic layer, allowing you to control how data sources are displayed in the UI by defining which fields should show up in which drop-down and which aggregation and function (metrics) are made available to the user; and deep integration with Druid that allows for Superset to stay blazing fast while working with large, real-time datasets.
Superset's main goal is to make it easy to slice, dice, and visualize data. Maxime Beauchemin explains how Superset empowers each and every employee to perform analytics at the speed of thought.
Bio: Maxime Beauchemin works at Lyft as a Software Engineer. He is the creator and a lead maintainer of Apache Airflow [incubating] (a workflow engine), Superset (a data visualization platform), and recognized as a thought leader in the data engineering field. Before Lyft, Maxime worked at Facebook on computation frameworks powering engagement and growth analytics, on clickstream analytics at Yahoo!, and as a data warehouse architect at Ubisoft.
Software Engineer at Lyft