Building a Streaming Analytics Stack with Apache Kafka and Druid

The blog post discusses how to build a streaming analytics stack using Apache Kafka and Druid, two popular open source projects. It explains the roles of Kafka as a publish-subscribe message bus for event delivery and Druid as a streaming analytics data store ideal for powering user-facing data applications. The tutorial guides users through setting up both Kafka and Druid, loading some data, and visualizing it using Imply's Pivot application. It also provides information on how to load your own datasets into Kafka and set up a highly available, scalable Druid cluster.