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Online Talk

[OEM Webinar] Drive Faster Growth with Enterprise-Grade Data Streaming

Visionner

Available On-Demand

In this webinar, you'll learn how to:

  • Monetize data streaming by partnering with the industry leader and unlock real-time customer use cases on premises, at the edge, and in the cloud
  • Maintain engineering focus on your core roadmap and accelerate time to value with the industry’s most complete, ready-to use data streaming platform
  • Reduce risks and ensure customer success with everything necessary to build a high-margin business around data streaming

Built by the original creators of Apache Kafka®, Confluent provides the fastest path to data streaming expertise.

Business today is conducted in real time and companies across industries are facing increasing pressure from customers to reflect that. Confluent’s 2024 Data Streaming Report revealed that 51% of IT leaders view the technology as a top strategic priority for IT investments this year. But delivering everything necessary to work with real-time data is no simple task—not unless you partner with the data streaming leader.

Confluent’s OEM program—built for MSPs, CSPs, and ISVs—brings data streaming to your product or service quickly and confidently with unified Apache Kafka® and Apache Flink®, built and supported by the original creators of open source Kafka.

Join us as we discuss the growth opportunity tied to data streaming, the challenges of working with open source Kafka and Flink, the benefits of Confluent’s new OEM program, and how we’ve helped others unlock data streaming for their customers.

Andrew has been helping MSPs, CSPs, and ISVs deliver value to their end customers for the past 10 years. He focuses on building unique offerings, acquiring customers, and growing revenue. With a background in business development, enterprise sales, and software development, Andrew enjoys helping others bring new products to market and build solutions leveraging Confluent.

Justin is a Principal Solutions Engineer with a background in networking and infrastructure, and now spends his days helping businesses design and architect complex distributed data systems.