Enabling real-time querying using Druid & Flink @ Lyft

In this talk, we’ll learn more about how Apache Druid powers alerting against real-time data at Lyft, which is useful for several use cases including validating A/B tests, accuracy of emails sent out to customers and for internal tools. We’ll talk about the challenges we faced while setting up our real-time ingestion pipeline into Druid using Apache Flink and Kafka, and how we went about solving them. Imply transforms how businesses run by integrating real-time analytics into their operations. Founded by the authors of the Apache Druid database, Imply provides a cloud-native solution that delivers real-time ingestion, interactive ad-hoc queries, and intuitive visualizations for many types of event-driven and streaming data flows. Imply has operations in North America, Europe, and Asia Pacific and is backed by Andreesen Horowitz, Khosla Ventures, and Geodesic Capital. Connect Website: https://imply.io/ Linkedin: https://www.linkedin.com/company/imply/ Twitter: https://twitter.com/implydata Github: https://github.com/implydata Slideshare: https://www.slideshare.net/implydata