Confluent + Imply: Monetize streaming data with real-time analytics applications

Why Kafka and Druid are the Perfect Match for Real-Time Analytics Applications? To succeed in today’s increasingly competitive environment, organizations need real-time, granular insights into their business and operations to grow revenues, fight fraud, and deliver a great customer experience over digital channels. At the same time, share these real-time operational and business insights externally with the customers and partners they serve. To gain these real-time operational and business insights and share them with customers and partners, requires developers to build apps that bring together streaming data and interactive analytics to push real-time visibility to the next level. This leaves developers trying to figure out what is the right architecture. Many are asking - how can I ingest millions of events per second? How can I analyze billions of rows interactively in seconds? How can I scale to thousands of end-users concurrently without prohibitive costs? That’s where the K2D (Kafka-to-Druid) stack comes in. Companies like Netflix, Pinterest, Citrix - as well as Confluent and Imply - have built analytics applications leveraging the K2D stack for real-insights for internal and external users. Join Confluent and Imply, where we will take attendees on a journey to explore: - What problems does Kafka solve and how does Confluent make it easier? - Key challenges for building real-time analytics applications and how Imply and Druid fit into the world of analytics applications - Live demo + use cases: ~ how to build an architecture to capture and transform streaming data to analytics applications ~ what are some of the use cases from digital native organizations and how these leading companies use Kaffa and Druid to achieve their business goals