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Wonderful explanation. I was studying data cloud in salesforce and they were mentioning this data format multiple time. I was clueless but I got clarity from your video. Thank you sir

Excellent vídeo, thank you Master

I have completed this course on udemy and highly recommend this course on udemy. It's very well explained and easy to understand.

Hello, Is this page updated ? Can we rely on this by becoming a member and stay updated ? If not, where do all your courses be updated? I took your PySpark course on Udemy. Though the beginning was really good, the later part of the course did not have a continuous flow. How do I enroll to your batch course ?

to watch all the videos of Databricks course playlist , if we subscribe 199/- or 399/- ?

such an engaging content you dont loose me for a second .. amazing explanation.. bless you brother.. in my language "SAADAA KHUSHBU"

Great .but follow up question for this by interviwever is s how do we take 4x memory per executor.

Is there still a coupon to get this course for free?

Please provide prerequisites

How to certify

Awesome sir

Thanks man it worked.

Very simple and precise. Thank you

THANKS

is this course suitable for scala users or do we need to have python knowledge?

What if the cluster size is fixed? Also ,shouldn't we take into account per node constraint? For eg: what if the no. of cores in a node is 4?

very very good and valuable course.

In the last step, you did kinit , that pulled the tgt and then dev uer could list the files. At what point of time, the client interacted with TGS with this tgt?

The course is very well organized

Thank you so much. Well explained about Root user.

incredible, thanks

in last question each and every value you took was default only (128mb, 4, 512mb,5 cores) , so lets say the question is for 50 gb of data then still 3gb would be the answer?

ModuleNotFoundError: No module named 'pyspark.streaming.kafka' error using command spark-submit --packages org.apache.spark:spark-streaming-kafka-0-10_2.13:3.5.1 live_processing.py can you help please?

If no. of cores are 5 per executor, At shuffle time, by default it creates 200 partitions,how that 200 partitions will be created,if no of cores are less, because 1 partition will be stored on 1 core. Suppose, that My config is, 2 executor each with 5 core. Now, how it will create 200 partitions if I do a group by operation? There are 10 cores, and 200 partitions are required to store them, right? How is that possible?

Hi , Thanks for the explanation. It really helps. In the above example let's say In right stream we are getting impressionId=4, and we didn't get matching events for id=4 on left stream for long time, Is it possible to get this record also inside foreachbatch() function before it gets dropped by spark?

Very well explained

That is an extradentary explanation, Thank you

Best video about this three abstractions

thank you for explaining i was looking for a start example to get what it is but videos were like explaining to some experts well i figured out to follow your steps , after running the code and done the ncat command i m getting errors and first one is: "chk-point-dir" any help

C:\kafka\bin\windows>kafka-console-producer.bat --topic test2 --broker-list localhost:9092 < ..\data\sample1.csv The system cannot find the path specified. how to fix this error

Insightful explanation. Thanks for the video.

Great job, Sir

beautifully explained...

Well spoken, nicely explained.

Sir you are best❤

I have something clear on my head now.. Thank you very much

I'm using MacOS, how to setup all this ??

Thank you for your lecture. I am following all of your course related to big data.

Any chance this course will come on undemy

where can i enroll for or buy this snowflake course? thank you

Wonderful. Cleared a lot of doubt.

Kafka doesn't allow more than 2 consumers to read from the same partition to avoid the same message being read multiple times. Isn't this the case when 2 consumers listen to the dans partition ?

Thank you

thanks, it is great guide and simple at same time

When will more video come. Can you create playlist as well

What are the alternative if we dont to use while loop? I'm trying to use Spring XML based project and no Spring Boot. Any idea?

great job, nice explanation