When we think about kafka we typically think of it as an intermediary to pass the bytes of data from one place to another. Because It doesn’t do data verification by itself. That’s the power of kafka in that it provides flexibility with passing different data every time. But, it’s both a boon and bane.
We would surely need specific kinds of data fields. To know exactly what data has been sent, consumers can try to log the data. This is where schema registry comes into play.
With Schema registry, you can enforce specific data contracts and allow our schema evolution while guaranteeing not to break your downstream applications. This talk covers:
A quick intro to confluent kafka
Apache Avro Schema
Power of Schema Registry & project demo
Project used in the demo: https://github.com/bcalm/Library
Speakers:
Parul Aggarwal ( / parulagg27 )
Vikram Singh ( / vikram-singh-3a07ba204 )
Join us on Meetup:
https://www.meetup.com/Geek-Night-NCR/