Single vs. Multiple Event Streams (Hands On) | Events and Event Streaming
https://cnfl.io/event-streams-module-7 | In this exercise, you will build up the current shopping cart for a series of add and remove item events. Since ksqlDB doesn’t support multiple independent schema definitions as inputs to a single operation, you will merge them together into one stream. You will then use ksqlDB to aggregate the events together into the current state of the shopping cart. During the exercise, you will see items added and removed from the cart in real time, as well as witness how the aggregate functions work. 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 ► Managing Multiple Event Types in a Single Topic with Schema Registry: https://www.confluent.io/events/kafka-summit-europe-2021/managing-multiple-event-types-in-a-single-topic-with-schema-registry/ ?utm_source=youtube&utm_medium=video&utm_campaign=tm.devx_ch.cd-designing-events-and-event-streams_content.microservices ► multiple-events-kafka-summit-europe-2021: https://github.com/bbejeck/multiple-events-kafka-summit-europe-2021 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 #microservices #apachekafka #kafka #confluent
https://cnfl.io/event-streams-module-7 | In this exercise, you will build up the current shopping cart for a series of add and remove item events. Since ksqlDB doesn’t support multiple independent schema definitions as inputs to a single operation, you will merge them together into one stream. You will then use ksqlDB to aggregate the events together into the current state of the shopping cart. During the exercise, you will see items added and removed from the cart in real time, as well as witness how the aggregate functions work. 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 ► Managing Multiple Event Types in a Single Topic with Schema Registry: https://www.confluent.io/events/kafka-summit-europe-2021/managing-multiple-event-types-in-a-single-topic-with-schema-registry/ ?utm_source=youtube&utm_medium=video&utm_campaign=tm.devx_ch.cd-designing-events-and-event-streams_content.microservices ► multiple-events-kafka-summit-europe-2021: https://github.com/bbejeck/multiple-events-kafka-summit-europe-2021 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 #microservices #apachekafka #kafka #confluent