Kafka gurinchi inka detailed video kavalante, please comment cheyandi... OdinSchool Data Science Course Link: hubs.la/Q022m8gf0

We need more about Kafka. It's interesting. Thanks bro for sharing this😍

**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.

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

Hi Bro...!! Your session is very good ..!! It will be good to explain in a detailed one ..Thanks 🙏

wow, it's really a great content bro, looking for detailed content with a mini project of kafka.

Explained with quite relevant example.

This video is very informative for us and we want More detailed about Kafka😊

Hi Anna, Thanks for explaining the scenerio, Hoping to make series of videos on it

Bro.. Awesome explaination.. Thanks.. Pls give some more deep insights on Kafka..

Really a great explanation Brother.... This is a 🗝️ to learn.... I'm interested, can you please explain Kafka in- detail. Thank you...

Thank you for very explaining. Please make a complete video on Kafka real time scenarios and detailed that will be very helpful.

We need more about Kafka. It's interesting

Hello @VamsiBhavani, kafka end to end video okkati cheyagalara please, so interesting to listen your topics

Nice info!! Could you please share another video by covering advanced concepts in this.

It’s very interesting pls go on bro

Bro elanti videos cheye bro realtime kosam Baga use avutaye idea vosthundhe andharike

Thank you for this video andi. Need more info about kafka. TIA.

interesting. need full tutorial on this

Hello sir nice explanation and could you please provide any sample project based on Kafka..concept using web api in c#

we need more about Kafka bro, please do more practice vedios

Well explained need a sample project on this Kaftka

kafka gurinchi inka detail video pettu bro

manciga explain cesaru bro,konchem toraga kafka playlist nii cestaru ani,with explanation via a project

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we are very interset to please make videos on kafka bro

Vamsi garu ISTQB certification worth untundha pls do let me know

Pls make a cmplt video with real world example

Hi bro between full stack developer vs data engineering. Which technology is more demand in future.but now I have 6 years java experience

thank you anna

Bro Have u created kafka in detail? I dont see detail video in your channel. Could you please share it?

Need a video on kafka prj plz

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

bro tensor flow guruinchi explain cheyyi bro

Anna debezium gurinchi pettava video Ela integration cheyali windows and Ubuntu lo

We need a more detailed video of the project on Kafka

kafka gurinchi next part kavali anna

Please upload all videos bro for kafka

Dsa chey anna

Helo sir are u full stack developer? Or any other field have a dought

❤

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.

Interested

Detailed project video

please do kafka full course videos

Super explain chesavu please do it bro😢

Inka details ga explain cheyandi bro

Bro .I applied so many jobs but no one replied what is the reason..what should I do

complete kafka playlist create cheyandi bro

Anna prompt engineering course emi ayindhi fast ga vidoes cheyyu

nenu only core python advance python nerchukuntee job vastadha bro please reply

I need full video about kafka

Mini project chei bro pls

we need about kafka

Bro I'm waiting for ur videos plz upload videos youtub and now I'm subscribed

bro detailed video please

We are using Kafka

How is Kafka and database connected

🙋

more info please

We need basic concept anna🙏🙏

Oka example teeskoni cheppandi bro

Do Kafka in detail

Can u explain topics plz

bro kindly join our clg as professor anna

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

Bro insta lo msg chesa mail ki msg chesa rply he ledu bro 😮