Podcasts about fangjin yang

This episode features Fangjin Yang, co-founder and CEO of Imply, a data analytics startup providing high-performance solutions to large scale event streams. Fangjin is also a co-author of Apache Druid, an open-source data store designed to quickly digest massive event data. Prior, he was the Engineering Lead at Cisco systems and Metamarkets (acquired by SnapChat). Fangjin shared his career path and his entrepreneur experience on how to evolve an open source project into a business. Visit Robin.ly to view full video interview and transcripts: http://bit.ly/2Xzr9N2

This is the second part of an interview with Fangjin Yang, co-founder and CEO at Imply and committer/PMC member for the Druid project. Druid: a high-performance, column-oriented, distributed data store which has entered the Hadoop environment with the recent integration with Apache and we since Druid has been around for a while, we are grateful to FJ for spending some time with our listeners. Fangjin Yang Cofounder and CEO at Imply (linkedin)       Please use the Contact Form on this blog or our twitter feed to send us your questions, or to suggest future episode topics you would like us to cover.

This is the first part of an interview with Fangjin Yang, co-founder and CEO at Imply and committer/PMC member for the Druid project. Druid: a high-performance, column-oriented, distributed data store which has entered the Hadoop environment with the recent integration with Apache and we since Druid has been around for a while, we are grateful to FJ for spending some time with our listeners. Fangjin Yang Cofounder and CEO at Imply (linkedin)       Please use the Contact Form on this blog or our twitter feed to send us your questions, or to suggest future episode topics you would like us to cover.

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.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

Fangjin Yang, creator of the Druid real-time analytical database, talks with Robert Blumen. They discuss the OLAP (online analytical processing) domain, OLAP concepts (hypercube, dimension, metric, and pivot), types of OLAP queries (roll-up, drill-down, and slicing and dicing), use cases for OLAP by organizations, the OLAP store’s position in the enterprise workflow, what “real time” […]