**Scenario: A Library** 1. **Topics**: Imagine a library where books are sorted into different sections like "Science Fiction," "Mystery," and "Fantasy." Each section represents a Kafka topic, such as "SF_Books," "Mystery_Books," and "Fantasy_Books." 2. **Producers**: Authors are like producers. They write books (messages) and place them in the appropriate sections (topics). So, J.K. Rowling (the producer) writes a new Harry Potter book (message) and places it in the "Fantasy_Books" section (topic). 3. **Brokers**: In our library analogy, the library building itself is like a Kafka broker. It houses the books (data) across different sections (topics) and manages them. The library has multiple rooms (brokers) to hold different types of books (data). 4. **Consumers**: Readers visiting the library are consumers. They can pick a book (message) from a particular section (topic) and read it. Each reader is an individual consumer. 5. **Consumer Group**: Let's say there's a book club in the library. The members of the book club represent a consumer group. When a new book (message) arrives in a section (topic), one member from the book club (consumer group) reads it. 6. **Partitions**: Consider each section (topic) in the library having multiple shelves (partitions). Books (messages) are placed on these shelves (partitions) for easier management and access. If the "Fantasy_Books" section has three shelves (partitions), different Harry Potter books (messages) can be placed on different shelves (partitions) within that section (topic). In this analogy, the library (broker) organizes books (messages) into different sections (topics), authors (producers) write and place books (messages) into sections (topics), readers (consumers) read books (messages) from sections (topics), and book clubs (consumer groups) represent groups of readers. Shelves (partitions) within sections (topics) help organize and distribute the books (messages) effectively.
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Anna next raboye years lo IT lo chala changes jarguthai AI valla so future lo best career undali ante Em nerchukovali anna, deeni meeda konchem detailed video chey anna chala confusion lo unna
Thank you very much, for brief lesson. Can we get what are the other tools which are like Kafka ? And what is the difference or advantage of Kafka against application insights in Azure. Thanks.
Guys simple guys kafka is like Bullet Unlimited data train 🚃 assuming you are sending data with other places so just putting into your data into bullet(kafka ) train within fraction of second we received Your data
Kafka gurinchi inka detailed video kavalante, please comment cheyandi...
OdinSchool Data Science Course Link: hubs.la/Q022m8gf0
Thanks for explaining it clearly. Please do it in detail it will be very helpful.
Ne native city ekada bro?
Plz , we need detailed video.2 learn kafka
Yes, please make more videos on Kafka. Your explanation with realtime example is very good
Thank you for clearly explaining.
Please make a complete video on Kafka real time use case
**Scenario: A Library**
1. **Topics**: Imagine a library where books are sorted into different sections like "Science Fiction," "Mystery," and "Fantasy." Each section represents a Kafka topic, such as "SF_Books," "Mystery_Books," and "Fantasy_Books."
2. **Producers**: Authors are like producers. They write books (messages) and place them in the appropriate sections (topics). So, J.K. Rowling (the producer) writes a new Harry Potter book (message) and places it in the "Fantasy_Books" section (topic).
3. **Brokers**: In our library analogy, the library building itself is like a Kafka broker. It houses the books (data) across different sections (topics) and manages them. The library has multiple rooms (brokers) to hold different types of books (data).
4. **Consumers**: Readers visiting the library are consumers. They can pick a book (message) from a particular section (topic) and read it. Each reader is an individual consumer.
5. **Consumer Group**: Let's say there's a book club in the library. The members of the book club represent a consumer group. When a new book (message) arrives in a section (topic), one member from the book club (consumer group) reads it.
6. **Partitions**: Consider each section (topic) in the library having multiple shelves (partitions). Books (messages) are placed on these shelves (partitions) for easier management and access. If the "Fantasy_Books" section has three shelves (partitions), different Harry Potter books (messages) can be placed on different shelves (partitions) within that section (topic).
In this analogy, the library (broker) organizes books (messages) into different sections (topics), authors (producers) write and place books (messages) into sections (topics), readers (consumers) read books (messages) from sections (topics), and book clubs (consumer groups) represent groups of readers. Shelves (partitions) within sections (topics) help organize and distribute the books (messages) effectively.
Excellent Explanation
Great, keep explaining on further videos/topics too
Great explanation
super Explanation
We need more about Kafka. It's interesting. Thanks bro for sharing this😍
Well explained bro. Expecting a play list on Kafka including a project.
We are very much excited. so please create a full video about this
Yeah we need more information about kafka🙌
Hi Bro...!! Your session is very good ..!! It will be good to explain in a detailed one ..Thanks 🙏
Hello @VamsiBhavani, kafka end to end video okkati cheyagalara please, so interesting to listen your topics
This video is very informative for us and we want More detailed about Kafka😊
Really a great explanation Brother.... This is a 🗝️ to learn....
I'm interested, can you please explain Kafka in- detail.
Thank you...
Chala baga explain chesaru bro 👌
Hi Anna,
Thanks for explaining the scenerio, Hoping to make series of videos on it
Bro .I applied so many jobs but no one replied what is the reason..what should I do
Relevant Projects pettu
Resume manchiga prepare chesko brother
Nuv yee jobs ke apply chesthunavo aa jobs Frontend ithe Frontend projects, back-end ithe back-end projects full stack ithe full stack projects, app dev ithe apps projects, ML ithe ml ai dl projects pettu bro apply chestho nee undale tappadhu
Last but not the least Coding profiles chala important brother leetcode ayina codechef ayina
Bro elanti videos cheye bro realtime kosam Baga use avutaye idea vosthundhe andharike
Thank you for very explaining.
Please make a complete video on Kafka real time scenarios and detailed that will be very helpful.
wow, it's really a great content bro, looking for detailed content with a mini project of kafka.
Bro.. Awesome explaination.. Thanks.. Pls give some more deep insights on Kafka..
We need more about Kafka. It's interesting
manciga explain cesaru bro,konchem toraga kafka playlist nii cestaru ani,with explanation via a project
Explained with quite relevant example.
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kafka gurinchi inka detail video pettu bro
Helo sir are u full stack developer?
Or any other field have a dought
Super bro😊😊
Thank you for this video andi. Need more info about kafka. TIA.
Bro Have u created kafka in detail? I dont see detail video in your channel. Could you please share it?
Hi bro between full stack developer vs data engineering. Which technology is more demand in future.but now I have 6 years java experience
we need more about Kafka bro, please do more practice vedios
Could u please provide full video on this
How odion school is it now ?
Nice info!! Could you please share another video by covering advanced concepts in this.
complete kafka playlist create cheyandi bro
Need a video on kafka prj plz
It’s very interesting pls go on bro
Anna next raboye years lo IT lo chala changes jarguthai AI valla so future lo best career undali ante Em nerchukovali anna, deeni meeda konchem detailed video chey anna chala confusion lo unna
Hello sir nice explanation and could you please provide any sample project based on Kafka..concept using web api in c#
Please explain more about kafka
Hi Vamsi, can you please share example and more information
bro tensor flow guruinchi explain cheyyi bro
Pls make a cmplt video with real world example
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Thank you very much, for brief lesson. Can we get what are the other tools which are like Kafka ? And what is the difference or advantage of Kafka against application insights in Azure. Thanks.
Can you please release more videos on kafka
I am Really Interested Bro
How is Kafka and database connected
Well explained need a sample project on this Kaftka
Please upload all videos bro for kafka
Guys simple guys kafka is like Bullet Unlimited data train 🚃 assuming you are sending data with other places so just putting into your data into bullet(kafka ) train within fraction of second we received Your data
Kafka gurinchi inka detail information kavali bro
interesting. need full tutorial on this
Can you please explain Kafka in detail.
Hi anna cic vs it which is better for girls
Nice explanation
We need a more detailed video of the project on Kafka
we are very interset to please make videos on kafka bro
please do kafka full course videos
Hi bro please upload Kafka videos
Thankyou ❤
kafka gurinchi next part kavali anna
Oka example teeskoni cheppandi bro
I need full video about kafka
bro detailed video please
Dsa chey anna
Mini project chei bro pls
Inka details ga explain cheyandi bro
Interested
Tq brother
more info please
Bro I'm waiting for ur videos plz upload videos youtub and now I'm subscribed
we need about kafka
Can u explain topics plz
Detailed project video
Super explain chesavu please do it bro😢
thank you anna
We need basic concept anna🙏🙏
We are using Kafka
bro kindly join our clg as professor anna
Do Kafka in detail
❤
Kavali kavali brooo na nka kavali
🙋
Bro insta lo msg chesa mail ki msg chesa rply he ledu bro 😮
We need more about Kafka. It's interesting