Data Pipelines: Join Data Streams with ksqlDB

https://cnfl.io/data-pipelines-module-5 | Data in an Apache Kafka® topic can be modeled as a stream of unbounded events, and also as a table of state. For each event in the Kafka topic, the latest value for each key is held in a table. In this course, Tim Berglund (Senior Director of Developer Experience, Confluent) demonstrates the concept of turning a stream into a table and then shows how that table can be used as a lookup table to which another stream of events can be joined, creating an enriched event.

Use the promo code PIPELINES101 to get $25 of free Confluent Cloud usage: https://cnfl.io/try-cloud-with-data-p...

Promo code details: https://cnfl.io/promo-code-disclaimer...

LEARN MORE
► ksqlDB 101: https://developer.confluent.io/learn-...
► Inside ksqlDB: https://developer.confluent.io/learn-...
► ksqlDB on Confluent Cloud: https://www.confluent.io/product/ksql...
► ksqlDB: https://ksqldb.io?utm_source=youtube&...
► 📼 ksqlDB HOWTO – A Mini Video Series 📼 : https://rmoff.net/2021/02/17/ksqldb-h...
► How to Join a Stream and a Lookup Table Using ksqlDB: https://kafka-tutorials.confluent.io/...
► Multi-Join Expressions Using ksqlDB: https://kafka-tutorials.confluent.io/...
► How to Join a Table and a Table Using ksqlDB: https://kafka-tutorials.confluent.io/...
► How to Join a Stream and a Stream Using ksqlDB: https://kafka-tutorials.confluent.io/...

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.

#kafka #datapipeline #ksqldb #confluent #apachekafka