Build analytics apps on lakes and streams with Apache Druid
The good news: you are generating millions of events in a flash. But now you need to include that new streaming data alongside data lake sources and enable analytics immediately–not waiting for streams to land in your object store. Your application needs to do double-duty: provide real-time operational insights and ad-hoc analysis of historical data.
In this session:
- Learn the basics of Apache Druid for analytics applications
- See how Druid can extend your application to include streaming data in addition to your data lake insights
- Hear how companies like Target, Netflix, Twitter, Confluent, and Cisco use Apache Druid for real-time and historical analysis
Carl is a Senior Director of Product Marketing at Imply. He has done nearly every role in the analytics business since the late 1990s at software companies large and small, including Microsoft, SAP, and startups.