How To Use Streaming Joins with Apache Flink®

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Streaming data brings with it some changes in how to perform joins. In this video, David Anderson and Dan Weston talk about how and when to use temporal joins to combine your data.

ADDITIONAL RESOURCES

CHAPTERS
0:00 - Intro to streaming joins
1:34 - Stateless, materializing, and temporal operations
3:02 - Streaming joins are continuous queries
4:30 - Demo: join with an updating table
8:14 - Demo: join with an appending table
10:31 - Demo: temporal join with a versioned table
13:08 - Conclusion

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Комментарии
Автор

Thank you, David & Dan for this wonderful & intituve session. I would like to request you guys to make another video that deals with the Processing Time Temporal Join. In this video you have explained clearly on Event Time Temporal join.

PraveenChandMr
Автор

Fantastic video. Helped me understand streaming joins as a concept which I had been having a hard time with.

HarshTandon-knmd
Автор

Thanks Devid & Dan for sharing this session. Currently we have a KeyedProcessor maintaining a state purely keep track whether is a CREATE event or UPDATE event. And now having an enrich stream adding in, might a good place to use the Temporal join here.

zhalexlee
Автор

Really nice video. The flow of the video and concept explanation was very nice

AdityaSridhar