Drill to Detail Ep.51 ‘Druid, Imply and OLAP Analysis on Event-Level Datasets’ With Special Guest Fangjin Yang

Mark Rittman

Mark Rittman is joined by Special Guest Fangjin Yang to talk about the history of Druid, a high-performance, column-oriented, distributed data store originally developed by the team at Metamarkets to provide fast ad-hoc access to large amounts of event-level marketing data, and his work at Imply to commercialise Druid and build a suite of supporting query and data management tools.

Druid project homepage

Druid – A Real-Time Analytical Data Store (pdf)

Druid – Learning about the Druid Architecture

Imply.io homepage

Druid, Imply and Looker 5 bring OLAP Analysis to BigQuery’s Data Warehouse