How to Use Streaming Joins with Apache Flink

Explore streaming joins in Apache Flink® through this 16-minute video tutorial. Learn about stateless, materializing, and temporal operations, and understand how streaming joins function as continuous queries. Watch demonstrations on joining with updating tables, appending tables, and performing temporal joins with versioned tables. Gain insights into the nuances of combining data in streaming environments, with practical examples and explanations provided by David Anderson and Dan Weston. Discover additional resources on event time, watermarks, exactly-once processing, and analyzing data from REST APIs using Flink SQL to enhance your understanding of streaming data processing.

- Intro to streaming joins
- Stateless, materializing, and temporal operations
- Streaming joins are continuous queries
- Demo: join with an updating table
- Demo: join with an appending table
- Demo: temporal join with a versioned table
- Conclusion