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Online Talk

How DISH Scaled Their Data Streaming Platform and Data Mesh to Support 5G

Available On-demand

Data streaming is transforming the telecommunications market, putting pressure on telco service providers to provide more interoperable, reliable, and real-time connectivity. In a sector where inflexible, monolithic platforms were once the default, now industry innovators like DISH Wireless are unlocking new value for their customers with real-time network streaming.

Brian Mengwasser, Head of Marketplace and App Design, shares how DISH Wireless and Confluent are building the next-gen intelligent 5G network. Together, Brian and Kai Waehner will cover:

  • An overview of DISH network services and how the company produces over an exabyte of data daily
  • Why DISH chose Confluent Cloud vs other data streaming platforms to serve as the foundation for its intelligent 5G network
  • How DISH Wireless is powering the launch of new products and services like data mesh and driving real-time backend operations
  • What the future of 5G looks like when combined with data streaming and Kafka

Save your seat to learn more about DISH’s 5G infrastructure and dive deeper into the analytics and operational use cases across the retail, automotive, and industrial edge DISH can now support.

Presenters

Brian Mengwasser

VP and Head of Marketplace and App Design, DISH Wireless

Brian Mengwasser leads Marketplace & App Design at DISH Wireless, responsible for exposing functionality of the company’s cloud and wireless network to its next-gen app communications platform for developers. He was also tasked with building customer-facing network functionality and cultivating a development ecosystem on top of the first hyper-distributed cloud and 5G network. Brian is a data-driven entrepreneur and executive with a passion for expanding connectivity and using intelligent automation to make the DISH 5G network technology come alive.

Kai Waehner

Global Field CTO, Confluent

Kai Waehner is working with Confluent customers across the world, internal teams, and industry analysts. Kai’s main area of expertise lies within the fields of big data analytics, machine learning, hybrid cloud architectures, event stream processing, and Internet of Things. He is a regular speaker at international conferences such as Devoxx, ApacheCon, and Kafka Summit, writes articles for professional journals, and shares his experiences with new technologies on his blog.

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Additional Resources

cc demo
kafka microservices
Image-Event-Driven Microservices-01

Additional Resources

cc demo
kafka microservices
microservices-and-apache-kafka