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 at 3 pm on Thursday March 17, 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 Kafka and Druid to achieve their business goals