Avro Introduction

[@StephaneMaarek]

If you want to learn more, check out my Apache Kafka Series - Confluent Schema Registry & REST Proxy course : links.datacumulus.com/confluent-schema-registry-coupon

[@hiteshbitscs]

Nice representation but one correction. You have mentioned due to compression less CPU but in fact it's reverse. It takes more CPU as it has to decompress. You can very well tell Less Memory usage due to compression. So to send data over a network is a bliss using this technique as it has to send very few packets of data to outer host.

[@pallavimanan4124]

Thank you for this on-point and a brief introduction to Avro. Also, your voice is really soothing to the ears.

[@wortyle]

This was the best intro to Avro I've ever seen. Thank you for such good material!

[@isragaytan]

Stephan you are my hero!. Thanks a lot i have plenty of your courses! thanks bro!

[@rsmith12able]

If you're going to go into a history of data formats, you probably don't want to skip XML (even though I understand we really don't want to remember it).

[@ayoubrmidi545]

A clean one. Thank you very much Stephane

[@abhishekjena9581]

loved it and very clean way of presentation

[@demohub]

Very good. Thanks for explaining this in details.

[@VeraxMusic]

This is super helpful. I wish you could've explained AWS Developer in the same way on your Udemy course. That was just confusing.

[@user-qr4jf4tv2x]

It has all the features best with json but compressed and small

[@NoOne-oy5vs]

Real informative with comparison and use cases. Thank!!

[@richardwang3438]

really great, subscribed

[@menthalbreed]

Good explanation. Thank you!

[@yanwang5585]

This tutorial is awesome. Thanks.

[@rahulkarpe1017]

This is really cool. Thanks for the session :)

[@teja1017]

When will be next bootcamp , please let us know ?

[@pranusha999]

thank you for the great material

[@scaiocesar]

thanks for the explanation it was awesome !!!

[@shamviniciusfiorin7257]

thanks by the video, save my time

[@sandeshjayaprakash8946]

Amazing explanation. Do you have video for schema evolution with avro ?

[@bindusree5204]

Yes it's very much better if we have it

[@clayouyang2157]

hi bro.do you know that how to convert avro to json in python?

[@demohub]

Do you have a video on schema evolution?

[@widel5520]

I have a question please , i am working on a project right now with avro, and i'm working on Windows, so when i try to specify the path as follow in my connector datagen :
"schema.filename": "E:\UPM\TFM\kafka-installation\kafka-app\src\main
esources\avro\Sensor_v1.avsc"
it doesn't work, and when changing it to linux notation , it doesn't regognize the file , any solution ?

[@panosp57]

What about XML? :(

[@Edu4Dev]

awesoooooooome

[@Taylor-vq6ds]

thanks for the demo. do you know if its possible to update a a field from an Avro file?
ie: avro file has "name' : "Ben" and I want to change this to "Eric'

[@Pupiot]

Didn't cover a rather major disadvantage for Avro, which is that it requires a Schema Registry when other options like ProtoBuf do not require such a registry

[@Edu4Dev]

awesome

[@OhDamnFinn]

Pretty nice introduction. Alright and okay ;)

[@JosefWhiteside-y1v]

Lillian Route

[@LarryHall-q7n]

Bergnaum Hollow

[@FannieValenzuela-b6p]

Frances Wall

[@dsinghr]

dictionary = json

[@WanettaDsouza-i7y]

Dangelo Mountain

[@CarmeloCzarnik-m8e]

Batz Cliff

[@GeorgeCastanada-n6u]

Skye Gardens

[@EarthaOcus-y5h]

Tony Canyon

[@IvannSerbia]

gj

[@glencourson2004]

What

[@glencourson2004]

Thanks

[@OrlandoSmiley-i9n]

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