Відео

Great explanation !

best explanation not only on youtube but the entire internet .............Thank you so much

after watching lots of videos and getting more confused this video showed up and unexpectedly turned out to be a life saver hats off to you sir

do you have a simple code for the traditional way or another more explicit video?

This 45 minutes lecture is a master piece..!!! Nothing else is even close to this one.

Thanks for the amazing explanations Omar from Egypt :)

Hi can you share your contact....

One slave node can have more than one container right?

Consider a retail shop with 10 employees where each employees gets a monthly bonous of he number of sales select * from employee distributed by employee_id sorted by sales_amount If the above command executed, how many reducer will be used ?? A)Canot be determined B)1.0 C)no reducer will be used D)10 Kindly ans my questions please

Before coming to this video, I wasted 2 days searching many websites and videos for understanding YARN..! I hesitated to take video b/z of time but I AM LUCKY ALL MY DOUBTS GOT CLEARED ON YARN..! THANKS.. 👍🙏

thank you so much its a clear explanation

Nicely explained sir

sir can you share this ppt with us

Awesome sir. Thank you for giving this. Your website is not working .plz upload many videos like this....

U made it easy

According to your explanation it looks like no. of mapper is equal to no. of block size ...but generally no. of mapper is equal to no. of input split..pls let me know if i am wrong 🤔

greate job

Well explained. Great job. Thank you.

Secondary namenode is standby namenode

before coming here i searched all the blogs about yarn but didnt satisfied but this 45min cleared all the concepts even how actual data process i understood.Thank you sir,awesome explanation,VERY USEFULL

Very nicely explained the concept of split size.

Totally worth it, a clean explanation!

The best YARN explanation . Thank you !

Best YARN Lecture. Sir, Can you please explain? How to configure capacity-scheduler for queue for submit multiple spark application at same time? Or any other suggestion to run multiple application on Hadoop yarn cluster. Please

The best YARN lecture ever! 45 minutes are completely worth it!

Another question I have is what is the resource manager died but the data was processed and manipulated and is no longer in its original state?

Difference between yarn and map reduce?

superb explaination

Great explanation, make videos for other services, hadoop admin etc, issues as well

Oulryte - goodbye

Thanks professor ..Your throat deserves some rest yes !!Nice explanations

How many container could be launch in one node?

First of all your fsimage is not present on the shared storage (i.e Journal Nodes), it only contains edit logs which records changes in HDFS fs. Both the active as well as standby NNs store the fsimage on the local disk hosting the daemons.

Awesouy. Right video to learn Yarn

Awesome

Thanks for sharing your knowledge

Great video. Thank you so much

please try to explained Hadoop Resource manager High availability in deep.

When ApM no requested container at the node where data is stored, but RM not able to find any , ApM is given container and has to process data over remote access. In case of network failures in remote access, who and what actions are taken?

one of the best I have seen for yarn understanding..(Y)

much better than edureka!

Very nice

In 1st scenario, if 2nd block is present in different node. Then how the 3rd line is read by the record reader?

Very very good Explanation

False !!

Crystal Clear explanation, in Simple English . Thumbs up to you. Great tutorial for HDFS. I understood a lot from this video. Thank you so much.

@44:13 - Kumar - can't stop laughing

how the recordreader will know the starting of data if the data is going in block2?

Excellent explanation...simple