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Are you interested in learning how new modern architectures are designed to support some of the world’s largest platforms, as well as the capability to integrate legacy systems for a holistic view of your corporate data?

Join DataStax and Confluent for Data and Drinks at 10 Degrees in Seattle on Thursday, October 17 for an amazing distillery tour, delicious food, and networking.

We’ll have a technical discussion around the value proposition of integrating Confluent’s Kafka and DataStax Enterprise. We will showcase a highly scalable, fault-tolerant streaming integration to perform a data management platform known for delivering high value to you and your customers.

We will discuss:

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Architectural overview of Confluent’s Kafka
Architectural overview of DataStax Enterprise
Modern solutions designed to address today’s application needs


Event Details

Date: Thursday, October 17, 2019
Time: 4:30 pm - 7:30 p.m.
Location: 10 Degrees, 
1312 E Union St, Seattle, WA 98122

Agenda:
4:30pm - 5pm   Registration
5pm - 6pm        Presentations
6pm - 7pm        Tasting and Distillery Tour
7pm - 7:30pm   Networking

Come join us to learn from our customers, eat, drink, and network with your peers!

About the Presenters:

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Richard Lewis
With over 20 years of experience in enterprise technology, Richard has worked with top Fortune 500 companies providing solutions around low latency, high availability, fault-tolerant solution stacks as well as security solutions in identity and access management. His primary focus throughout his career has been on real-time architectures delivering solutions in Media, Finance, Telco, and Retail markets.


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Brian Walter
For more than 19 years Brian has been in a variety of technology management, engineering, infrastructure, and data analytics roles. Currently, he works directly with customers looking to transform their businesses with real-time processing, microservices, and event sourcing. Strike up a conversation with Brian about scuba diving, road racing, motorcycling, mountain biking, snowboarding/skiing, tennis, Lego, Python, TensorFlow, and beach vacations.



Register Now