Batch Processing vs Stream Processing | System Design Primer | Tech Primers

This video about batch processing and stream processing systems covers the following topics
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⏱ Chapter Timestamps
===================
0:00 - Agenda
1:00 - What is Batch?
1:15 - What is Stream?
1:32 - What is Micro-Batching?
2:19 - When to use batch processing
3:47 - When to use stream processing
6:16 - Use-case: Analytics Application
10:52 - Case study: Netflix Kinesis Data Streams
11:43 - Case study: Nasdaq’s Architecture using Amazon EMR & Amazon S3
12:36 - Summary
📌 Links
=======
🔗 Netflix Case study: aws.amazon.com/solutions/case...
🔗 Nasdaq Case study: aws.amazon.com/blogs/big-data...
📌 Related Videos
===============
🔗 System Design Primer: • System Design Primer
AWS Primer: • AWS Primer
🔗 Containers Primer: • Let's talk Containers ...
🔗 Kubernetes Primer: • Kubernetes Primer
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🎬Video Editing: FCP
---------------------------------------------------------------
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#BatchVsStream #Streams #TechPrimers

[@SumitSharma-qz2jd]

It's really nice to understand the complex topics very easily.

[@venkatk161]

Thank you so much! Your videos are very helpful for me. Good to see that you have passed 100K+ subscribers.

[@priyakrishnan9295]

Excellent content 👌 simple and contextual. keep up the awesome work

[@parijatbandyopadhyay8057]

Awesome and power-packed. Thanks for creating such beautiful content.

[@shreeyajoshi9771]

Thanks for the case studies. Quite helpful!

[@omartahboub2900]

Excellent Presentation !! To the point and very clear !!

[@aishwaryasawant1062]

Easy to understand, the way you've explained.

[@saikiranchittaluri2837]

Thanks 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

[@lee38xzy]

Thanks for the great video!!! Already subscribed!!

[@rakeshelangovan7040]

Ur videos are very informative. Thanks for your efforts

[@sandrafield9813]

This video was thorough, clear, and very helpful, thanks!! I'm in school and will share it with my classmates!

[@TechPrimers]

Glad it's helpful

[@qwertylove5848]

Great explanation. Thank you

[@devpanda7084]

Wish I came across this channel earlier , nonetheless better late than never . Superb content and numbers shout that this channel is pretty underrated .

thorough explanation! great video, overall! thanks for all the info!

[@DevenSitapara]

Well done , very well explained

[@rajeshkab]

Awesome explanation.. Thanks

[@TechPrimers]

⏱ Chapter Timestamps =================== 0:00 - Agenda 1:00 - What is Batch? 1:15 - What is Stream? 1:32 - What is Micro-Batching? 2:19 - When to use batch processing 3:47 - When to use stream processing 6:16 - Use-case: Analytics Application 10:52 - Case study: Netflix Kinesis Data Streams 11:43 - Case study: Nasdaq’s Architecture using Amazon EMR & Amazon S3 12:36 - Summary

[@divyanshuchaubisa2517]

Thanks creator for making this video. 🙏

[@MadhusudanBhosale]

After a long time good to watch the new tutorial. #techprimers

[@praneethbhat4703]

really superb. the way u hav explained the concept is beautifull. can u explain the spark architecture

[@NAVINKUMAR-vp2wv]

a precise and up to the point tutorial, great video.

[@TechPrimers]

Glad it was helpful!

[@anirbanchatterjee7766]

Beautifully explained and the use case was too good.

[@TechPrimers]

Glad it was helpful!

[@kevinlin7386]

Many thanks. This video came at the exact right time for me.

[@TechPrimers]

Glad it was helpful!

[@trinathtalluri]

Most awaiting

[@mitulpatel348]

Excellent video ☺️. Can you please create a demo application for similar use case?

[@gorantisridhar]

Very good explanation. Thank you so much for coming up a nice presentation.

[@TechPrimers]

Glad it was helpful

[@abhishekhalwai6063]

Great video thanks a lot.

[@architectsofthecloud6218]

Thank you so much!

[@rajkori1716]

This was awesome

[@geekmuralin]

Thank you sir 🙏

[@sreedhargourisetty9324]

Thanks for the great Explanation with real time use cases

[@TechPrimers]

Glad it was helpful!

[@padminisubramainam]

nice explanation

[@mohammedsufi4649]

Very useful bro. Thanks a lot for this video!..

[@TechPrimers]

Glad it was helpful!

[@bantuandproud8456]

Just 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

[@omotundeolusegun3076]

where did you get your certificate from bro?

[@eslamyassin4323]

wonderful content, very well explained, thanks!!

[@TechPrimers]

Glad you liked it!

[@YoYo-bc4mc]

Great vedio

[@marcusaureliusfanboy]

hey man, what software do you use to create these diagrams(like at 9:18)? Btw, great content as always!

[@GopalRoy-nn6ft]

Excellent explanation in 15 minutes..haven't seems such good explanation

[@TechPrimers]

Glad it helped Gopal. Cheers

[@rakeshroshan829]

Thanks to upload this video. I was waiting for this content.

[@TechPrimers]

Hope you liked it!

[@rakeshroshan829]

@@TechPrimers alway ur welcome

[@mohamedeljahmi2454]

Are you saying that Amazon Kinesis uses Apache Flink? As I understand, they have similar functionality, but Kinesis is proprietary while Flink is open source.

[@OmkarShetkar]

Clear explanation and awesome presentation... Thanks...

[@TechPrimers]

Glad it was helpful!

[@pradipkr5328]

this 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

[@rockgustavekoue9191]

i would like to know if I have to synchronize 2 device with different time streams which technology can i use

[@RavindraSingh-xn4wd]

Hi sir Could you please make the video on Rancher vs Openshift.

[@aniruddhsiddh2044]

very good 👍

[@muniswamy3908]

I was waiting for this video

[@TechPrimers]

Hope you are able to relate to real world entities

[@srimurthy7143]

Thank you.

[@PAVANKUMAR-vj8oi]

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

[@Deshbandhutechnology07SR]

nice video content... hope your channel grow fast...

[@TechPrimers]

I hope so too :)

[@user-nd7yg9gv9t]

thank you

[@GOOGOBAZI]

Thanks

[@flickmew99]

so apache spark can do batch and also streaming processing ?

[@anuragdutta347]

Regarding streaming, using all these services one by one, doesn't it caues lot of latency delay?

[@huilund9021]

Good intro video

[@krishnakanths1758]

Precise and informative video... 👍🏻

[@TechPrimers]

Glad you liked it!

[@user-zw7il3lu4n]

Thanks 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?

[@danyald4880]

Maybe process and/or clean data and make it ingestable later

[@anveshreddyvyza8437]

can you make video of SpringBoot with Aws Lambda and Api Gateway of all crud operations

[@TechPrimers]

I have a video using Spring Boot, Lambda and api gateway

[@Anderson-bz7fm]

Could we use spring streaming api instead of flink tô process the kinesis data analytics?

[@TechPrimers]

Hi Anderson, Amazon Kinesis Data Analytics is a serverless offering which runs on ApacheFlink behind the scenes. We can integrate it to other AWS services, however we cannot use spring streaming inside data analytics

[@Anderson-bz7fm]

@@TechPrimers thank you for explanation :)

[@dumindu077]

Hi @Tech Primers what is the difference between messaging and Streaming?..

[@TechPrimers]

This link has good explanation stackoverflow.com/questions/41744506/difference-between-stream-processing-and-message-processing

[@dumindu077]

@@TechPrimers thanks 👍

[@indikakularatne5339]

Excellent explanation. sad to see few idiots dislike this video

[@pnarkaya9837]

You are my God :D

[@TechPrimers]

I'm still alive 🤷🏻‍♂️😁

[@utbhargav]

Use cases are bit high standard to understand. Please take some easier ones.

[@soyphea8697]

Why can’t you get 100k subscribers...

[@TechPrimers]

That’s just a number Soy. The channel’s success is the quality and not the quantity.

[@shauryaverma8780]

too much information

[@christophermartinez1769]

Thanks