Kafka Tutorial Producer Workflow

preview_player
Показать описание
Spark Programming and Azure Databricks ILT Master Class by Prashant Kumar Pandey - Fill out the google form for Course inquiry.
-------------------------------------------------------------------
Data Engineering using is one of the highest-paid jobs of today.
It is going to remain in the top IT skills forever.

Are you in database development, data warehousing, ETL tools, data analysis, SQL, PL/QL development?
I have a well-crafted success path for you.
I will help you get prepared for the data engineer and solution architect role depending on your profile and experience.
We created a course that takes you deep into core data engineering technology and masters it.

If you are a working professional:
1. Aspiring to become a data engineer.
2. Change your career to data engineering.
3. Grow your data engineering career.
4. Get Databricks Spark Certification.
5. Crack the Spark Data Engineering interviews.

ScholarNest is offering a one-stop integrated Learning Path.
The course is open for registration.

The course delivers an example-driven approach and project-based learning.
You will be practicing the skills using MCQ, Coding Exercises, and Capstone Projects.
The course comes with the following integrated services.
1. Technical support and Doubt Clarification
2. Live Project Discussion
3. Resume Building
4. Interview Preparation
5. Mock Interviews

Course Duration: 6 Months
Course Prerequisite: Programming and SQL Knowledge
Target Audience: Working Professionals
Batch start: Registration Started
Fill out the below form for more details and course inquiries.

--------------------------------------------------------------------------
Best place to learn Data engineering, Bigdata, Apache Spark, Databricks, Apache Kafka, Confluent Cloud, AWS Cloud Computing, Azure Cloud, Google Cloud - Self-paced, Instructor-led, Certification courses, and practice tests.
========================================================

SPARK COURSES
-----------------------------

KAFKA COURSES
--------------------------------

AWS CLOUD
------------------------

PYTHON
------------------

========================================
We are also available on the Udemy Platform
Check out the below link for our Courses on Udemy

=======================================
You can also find us on Oreilly Learning

=========================================
Follow us on Social Media

========================================
Рекомендации по теме
Комментарии
Автор

Want to learn more Big Data Technology courses. You can get lifetime access to our courses on the Udemy platform. Visit the below link for Discounts and Coupon Code.

ScholarNest
Автор

I have look through several videos on Kafka yours have simplest and clearest examples and explanation. Please do more videos on other topics.

sfbteby
Автор

I am using this right away at work...best tutorials out there. Right to the point!

mikecmw
Автор

Hello Sir, you have explained the concepts in a very simple way . Thank you so much for your work..I look forward for more videos

nageshsiddamsetty
Автор

Thank you for sharing your knowledge, tutorials are crisp and clear

vishnureddy
Автор

Hi, thanks for the nice tutorial, do you have tutorial for Apache Zookeeper also???

fadhilsuhendi
Автор

How does a producer know that a transaction happened in the source application? How does it distinguish which are the new transactions and what it has already sent as messages to the broker? Sorry I am new to this...

Dhiraj
Автор

I have one quick question. In the Partitioner step, you mention that Producer decides partition. But isn't the Kafka / broker which knows the going partition number? How will producer know because the partition config is setup and resides on Kafka side.

Great work with the videos... please keep making them.

mpgrewal
Автор

IF the message is stored in partition buffer and waiting for the partition buffer to be filled does it mean the send method of producer is blocked ? Because the "RecordMetadata" object has to be returned by the send method. Doesn't it leads to problem of synchronous communication ?

maheshgs
Автор

We shouldn't set a key serialiser property if we are not sending the key to the broker right? If so, how key serialiser would be a mandatory parameter?

geethasri
Автор

Hi Sir, Thanks for ur video, i have a question..how does producer know if the error it received is recoverable?

madhavakulkarni
Автор

hello sir, your videos are really very helpful. I have one quick question. I want to use kafka in spark streaming using scala. Is Scala api is different from java api?

KapilKumar-hkxk