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Video

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

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

作者

Jag Dhillon

Pre-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 Sattanathan

Systems 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.

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