Kafka and Elastic meetup!

Hello Streamers!

Please join us for a collaborative meetup with our friends from Elastic Phoenix User Group on Thursday evening, March 6th from 5:30pm! Our own Viktor Gamov will be a presenter along with Andreas Christoforides at Elastic.

Venue:
CO+HOOTS
221 E Indianola Ave, Phoenix, AZ 85012
(Classroom)

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🗓 Agenda:

• 🕠 5:30 PM – Doors open & attendee check-in
• 🎤 5:50 PM – Data Inception: Processing Dreams Within Dreams with Flink and Kafka - Viktor Gamov, Principal Developer Advocate, Confluent
• 🎤 6:30 PM – Introduction to Elastic Connectors, Christoforides, Principal Consulting Architect, Elastic
• 🍻 7:00 - 8:00 PM – Networking & refreshments
• 🚪 8:00 PM – Event ends

💡 Speaker One:
Viktor Gamov, Principal Developer Advocate @Confluent

Title of Talk:
Data Inception: Processing Dreams Within Dreams with Flink and Kafka

Abstract:
In today's data landscape, processing information after it's been stored is not only slow—it’s also outdated. Your dashboards often lag behind reality, and your data pipelines struggle to meet real-time demands. But what if you could process data in motion the moment it's created?
Enter the powerful combination of Apache Kafka and Apache Flink, where familiar SQL meets stream processing. Think of Kafka as your nervous system, transmitting signals throughout your data architecture, while Flink serves as your brain, processing these continuous signals in real-time. We will start with Flink SQL, transforming traditional query patterns into continuous streaming computations over Kafka topics.
As we dive deeper, you'll learn how Flink's Table API combines SQL's simplicity with more sophisticated processing needs. You'll also see how the DataStream API addresses complex streaming scenarios while seamlessly integrating with Kafka's event streams.
Through practical examples and real-world architectures, you will learn:
- How Flink transforms static SQL queries into dynamic computations over Kafka streams
- When to leverage the Table API and how to master the DataStream API for complex processing
- Essential patterns for managing state, handling time, and ensuring exactly-once processing
- How to build resilient streaming architectures that combine Kafka's durability with Flink's processing power
Whether you are building real-time analytics or processing sensor data, this session will give you a practical understanding of how Kafka and Flink work together. Join us to discover why companies worldwide choose this powerful combination and learn how to evolve from static queries to dynamic streams!

💡 Speaker Two:
Andreas Christoforides, Principal Consulting Architect, Elastic

Title of Talk:
Introduction to Elastic Connectors

Abstract:
Elastic connectors are built using the Elastic Connector Framework and streamline the ingestion of diverse data sources into Elasticsearch. We'll explore the different connector types, deployment options, and how the connector framework integrates with the Elastic Stack.

***DISCLAIMER BY ATTENDING THIS EVENT IN PERSON, you acknowledge that risk includes possible exposure to and illness from infectious diseases including COVID-19, and accept responsibility for this, if it occurs.As the classroom is a mask-on setting, please be reminded that masks should still be worn at all times unless actively eating or drinkingNOTE: We are unable to cater for any attendees under the age of 18.