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Fact vs. Delta Event Types | Events and Event Streaming

https://cnfl.io/event-streams-module-2 | In this module, we’ll cover the properties of Fact, Delta, and Composite event types, and discuss the scenarios they’re best suited for. Additionally, we’ll provide you with some examples of each, as well as usage recommendations and some tips for avoiding pitfalls. 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 ► Event Sourcing 101 course: https://developer.confluent.io/learn-... ► Data Pipelines 101 course: https://developer.confluent.io/learn-... 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