For analytics “on time” - let’s debate: Kudu vs. Druid

Who has time for Data Warehousing? We do! Time series, real-time, and event data warehousing that is.

A modern data warehouse needs to accommodate the vast volumes of time-related data for important analytics such as network performance, financial risk, regulatory compliance, marketing campaign performance, product performance analysis or application performance management. On top of that, data should be available for query as soon as it is generated, and the queries should be completed at the speed of human thought.

Agenda (all times in CST)

05:00 David Dichmann: Welcome and Announcements
05:05 Introductions and Agenda
05:07 Justin Hayes: Apache Kudu
05:40 Bill Zhang: Apache Druid
06:25 Raffle of door prizes (must be present and participating to win)
06:27 Preview of upcoming Meetups, concluding remarks

Please join our experts David Dichmann, Justin Hayes, and Bill Zhang from the Cloudera Data Warehouse team for this lively debate on the strengths and merits of each and a live demonstration followed by live Q&A.

Note: This Meetup was originally scheduled to take place Tue, Feb 16, 2021; we had to cancel it at the time due to the extreme weather event that week in south-central Texas that caused widespread power outages.