Data Streaming using Apache Kafka and AWS - Live Stream Available

Galvanize is proud to sponsor AWS meetup!

Join us for a live demo of microservice implementation utilizing Apache Kafka on AWS.

LIVE STREAM: https://youtu.be/y2kGHDn86OA

The exponential growth of data, both available and collected, has led to issues with traditional data collection and analytics strategies. A solution to this inability to keep up with this growth of data has emerged in Apache Kafka. During this talk, Kevin Tinn will take you through the industry’s transition from transaction-based processes paradigms to event-driven architectures using data streaming, powered by the Confluent Kafka platform on AWS. Utilization of modern data streaming platforms and techniques provides your organization the ability to introduce massively scalable, event-driven architectures that provide real-time analytics and reactivity to real-world events, as well as the ability to scale to support high-volume influxes of data without missing a beat!

AGENDA:

6:30 - 6:45: Networking/Food
6:45 - 7:05: Talk about Event-Driven Architecture
7:05 - 7:35: OvervIew of Kafka
7:35 - 8:35: Kafka Lab with AWS
8:35 - 8:45: Q&A

About our Speaker:

Kevin Tinn resides in Denver. With over a decade in the IT industry, he has worked with companies of all scale. From installing network cabling in small dental offices to developing massively parallel data streaming platforms for the Fortune 500, Kevin has provided a full spectrum of IT Solutions. Kevin currently works at World Wide Technology as a Practice Lead in the Multicloud Application Architecture team. In this role, provides cloud consulting services, with a focus on AWS and Azure. Prior to joining the WWT Multicloud team, Kevin led agile software development teams in WWT’s Asynchrony Labs, utilizing a variety of languages and technologies such as C#, Scala, JavaScript, Kafka, SQL, Neo4j, etc. Please join Kevin for an overview of Data Streaming using Kafka and AWS as he discusses industry trends and emerging technologies.

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