Building a Streaming Analytics Stack with Apache Kafka and Druid | ConfluentOne popular trend in the data world recently is the rise of stream analytics. Organizations are increasingly striving to build solutions that can provide immediate access to key business intelligence insights through real-time data exploration. Architecting a data stack to transmit, store, and analyze streams at scale can be a difficult engineering feat without the proper tools. Luckily, existing
