Комментарии:
For realtime steam processing.
If i send each frame into my ML Inference load balanced servers as a post request, even this works right? Then why do we need kafka
nice explanation
Ответитьwonderful content, very well explained, thanks!!
ОтветитьAwesome explanation.. Thanks
ОтветитьVery useful bro. Thanks a lot for this video!..
ОтветитьThis was awesome
ОтветитьJust wow!!
Maybe you don't realize how helpful and resourceful is your video.
I just got my certificate in data engineering but let me tell you this, you are so concise and clear in your explanations that I feel more confident now using stream processing.
From time to time I will come back to you if I have any questions. I do have it but I will ask them later
Thanks for the case studies. Quite helpful!
ОтветитьThank you sir 🙏
ОтветитьThank you so much! Your videos are very helpful for me. Good to see that you have passed 100K+ subscribers.
ОтветитьAre you saying that Amazon Kinesis uses Apache Flink? As I understand, they have similar functionality, but Kinesis is proprietary while Flink is open source.
ОтветитьThank you so much!
Ответитьtoo much information
ОтветитьWish I came across this channel earlier , nonetheless better late than never . Superb content and numbers shout that this channel is pretty underrated .
ОтветитьExcellent video! 😃✌
ОтветитьAwesome and power-packed. Thanks for creating such beautiful content.
ОтветитьThanks creator for making this video. 🙏
ОтветитьEasy to understand, the way you've explained.
ОтветитьExcellent video ☺️. Can you please create a demo application for similar use case?
Ответитьso apache spark can do batch and also streaming processing ?
ОтветитьExcellent Presentation !! To the point and very clear !!
ОтветитьUr videos are very informative. Thanks for your efforts
ОтветитьThanks for the great video!!! Already subscribed!!
Ответитьvery good 👍
ОтветитьWell done , very well explained
ОтветитьThanks
ОтветитьThanks for the video. Could you please state why do we need to place analytics service before AWS streams? What should this service do in this particular example?
ОтветитьThank you.
Ответитьi would like to know if I have to synchronize 2 device with different time streams which technology can i use
ОтветитьUse cases are bit high standard to understand. Please take some easier ones.
Ответитьthank you
ОтветитьExcellent content 👌 simple and contextual. keep up the awesome work
ОтветитьExcellent explanation. sad to see few idiots dislike this video
Ответитьa precise and up to the point tutorial, great video.
ОтветитьBeautifully explained and the use case was too good.
Ответитьthis video is really helpful . can you please make video on concepts IBM MQ and avro kafka and Tibco etc . message queue and schema registration etc topics uses in scripting in performance testing and what are the goel to uses these concepts in scripting in performance testing with uses case examples to get proper visualization
ОтветитьGreat video thanks a lot.
ОтветитьThis video was thorough, clear, and very helpful, thanks!! I'm in school and will share it with my classmates!
Ответитьthorough explanation! great video, overall! thanks for all the info!
ОтветитьHi @Tech Primers what is the difference between messaging and Streaming?..
ОтветитьGreat explanation. Thank you
ОтветитьWhy can’t you get 100k subscribers...
ОтветитьIt's really nice to understand the complex topics very easily.
Ответитьreally superb. the way u hav explained the concept is beautifull. can u explain the spark architecture
ОтветитьGood intro video
ОтветитьYou are my God :D
ОтветитьVery good explanation. Thank you so much for coming up a nice presentation.
ОтветитьThanks for your efforts this is the next level of learning on batch and stream process
my request could you please start a session on scala programming
Hi sir Could you please make the video on Rancher vs Openshift.
Ответить