Join us on Thursday, October 24 for a hands-on workshop led by Confluent subject matter experts. In this interactive session, you’ll leverage your laptop and the lab environment designed for experiencing first-hand how to build Streaming Applications on top of Kafka leveraging modern tooling contained in the Confluent Platform, such as KSQL.
This is your exclusive opportunity to hear from the thought leaders of Kafka on how the Confluent Streaming Platform enables our customers to leverage real-time data processing against Apache Kafka®, with an easy-to-use, yet powerful interactive SQL interface for stream processing, without the need to write code.
Thursday, October 24, 2019
9:30 am-1:00 pm CT
1515 Central Ave NE #100
Minneapolis, MN 55413
9:30-10:00 am – Arrivals & Breakfast
10:00-10:30 am – Streams Processing/KSQL Overview
10:30-12:00 pm – Interactive Streams Lab
12:00 pm – Lunch & Wrap up/Next Steps
Space is limited, so register today!
Nick Dearden, Director of Engineering, Confluent, Confluent
Nick is a technology and product leader at Confluent, where he enjoys leveraging many years of experience in the world of data and analytic systems to help design and explain the power of a streaming platform for every business. Prior to Confluent, he led the data platform group for a leading online real-estate seller and was chief architect for a cloud-based financial analytics platform. His early career stretches all the way back through multiple data warehouse and business intelligence adventures to the green-screen days of mainframe banking systems.
Cliff Gilmore, Sr. Solutions Architect, Advanced Technology Group, Confluent
Cliff Gilmore is an accomplished thought leader who brings deep technical knowledge and customer-facing savvy to design and implement solutions for today's Big Data problems. He has extensive experience in data architecture across a broad range of technologies and has worn many hats - from running a consulting practice specializing in modern data architectures to helping hundreds of customers successfully deploy opensource solutions from the earliest stages to production at scale.
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