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Fangjin Yang

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Imply

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 homepageDruid - A Real-Time Analytical Data Store (pdf)Druid - Learning about the Druid ArchitectureImply.io homepageDruid, Imply and Looker 5 bring OLAP Analysis to BigQuery’s Data Warehouse

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.<a href="http://druid.io/" rel="nofollow" target="_blank">Druid</a> project homepage<a href="http://static.druid.io/docs/druid.pdf" rel="nofollow" target="_blank">Druid - A Real-Time Analytical Data Store</a> (pdf)<a href="https://dev.to/rusrushal13/learning-about-the-druid-architecture-184c" rel="nofollow" target="_blank">Druid - Learning about the Druid Architecture</a><a href="https://imply.io/" rel="nofollow" target="_blank">Imply.io</a> homepage<a href="https://medium.com/mark-rittman/druid-imply-and-looker-5-bring-olap-analysis-to-bigquerys-data-warehouse-ae0cb5ffb3a4" rel="nofollow" target="_blank">Druid, Imply and Looker 5 bring OLAP Analysis to BigQuery’s Data Warehouse</a>

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