Designing Events and Event Streams Introduction | Events and Event Streaming

https://cnfl.io/event-streams-module-1 | A complete introduction to events, event stream processing, and why it's used.

1) What is an event?
2) How should you think about events?

This course begins by examining each of these questions and continues with more video tutorials along with hands-on exercises to help you learn how to design event streams for any event-driven architecture. Continue on to watch the rest of our Event Streaming tutorials:

Complete list of video tutorials in our Designing Events and Event Streams course:

1) What are Events and Event Streams? Intro to Event Design
2) Fact vs Delta Event Types
3) Hands-On Exercise: Fact vs Delta Event Types
4) Normalization vs Denormalization
5) Hands-On Exercise: Normalization vs Denormalization
6) Single vs Multiple Event Streams
7) Single vs Multiple Event Streams
8) Terminating vs Non-Terminating Entities
9) Event Design and Event Streams Best Practices

Use the promo code EVENTDESIGN101 to get $25 of free Confluent Cloud usage: https://cnfl.io/try-cloud-eventdesign101
Promo code details: https://cnfl.io/eventdesign101-details

LEARN MORE
► The Data Dichotomy: Rethinking the Way We Treat Data and Services: https://www.confluent.io/blog/data-di...



ABOUT CONFLUENT
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io.

#streamprocessing #apachekafka #kafka #confluent