Confluent x Imply: Build the Last Mile to Value for Data Streaming Applications

[Webinar + Demo] BMW Group’s Omnichannel Transformation Using Data Streaming | Join!

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Join Confluent and Imply at this joint webinar to explore and learn the use cases about how Apache Kafka® integrates with Imply to bring in data-in-motion and real-time analytics to life.

Key takeaways:

What is Data in Motion using Confluent Kafka®
Learn how leading organisations leverage Confluent and Imply to solve their analytics use cases and/or build data-driven applications
Live Demo: How to build an architecture to capture and surface streaming data through interactive queries and unlimited scale

Jag DhillonPre-Sales Lead

Jag has been in the Data Analytics space for the past decade through his experience as one of ANZ's earliest Splunk employees & at IBM before that. Currently, Jag leads Imply's adoption across APJ as their Pre-Sales Lead for the region.

Guru SattanathanSystems Engineer

Gnanaguru (Guru) Sattanathan is a Systems Engineer at Confluent. He focuses on helping enterprises to bring up Fast Data platforms that can process real-time events at a scale. His experience includes implementing IoT solutions & Real-time data platforms for enterprises across diverse industry verticals.

Additional Resources

Confluent Cloud Demo

Join us for a live demo of Confluent Cloud, the industry’s only fully managed, cloud-native event streaming platform powered by Apache Kafka

Learn more

Kafka Microservices

In this online talk series, learn key concepts, use cases and best practices to harness the power of real-time streams for microservices architectures

Learn more

e-book: Microservices Customer Stories

See how five organizations across a wide range of industries leveraged Confluent to build a new class of event-driven microservices

Learn more