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. www.learningjournal.guru/courses/
Great videos sir. Thank you again. I am sure many have said that, if someone happens to see one part of any course, they would definitely want to watch all the other courses. The best part of tutorials are examples which makes me understand in better way. Hope to see more videos.
I am following your lectures over the last few days. I literally saw your subscriber count go up by 50, which included me too. :) God bless you and I wish you reach the skies. (And take these blessings seriously sir, they are from one lecturer to a great teacher :) ) Thank you.
Sir, I have been following your playlist and Its great. Though i have one doubt after going through the YARN Tutorial. When YARN was not into play, Map-reduce engine used to schedule tasks on the data Nodes wherever the data is stored (probably by analyzing the Name Node records). Run the map function instance on each data node and get the results. But, when YARN comes into picture, it will allocate resources at random, it might allocate nodes where our file's data is not stored. in that case how do we supply a block of data(input splits) to the data node which is allocated to us by YARN to run our function instance? And what is the role of Name Node when in this case?
Hello, Please add Spark tutorial, I was first to request you this when you just started Hadoop series. You added Scala similar please add Spark soon. Thanks!
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.
www.learningjournal.guru/courses/
Learning journal is the best tutor of hadoop and kafka on youtube..the monotonous but balanced and effective way of teaching is marvellous ..
Thank you sir for the excellent and so simplified explanation
All of your lectures are awesome sir. You are a great teacher :)
Great videos sir. Thank you again. I am sure many have said that, if someone happens to see one part of any course, they would definitely want to watch all the other courses. The best part of tutorials are examples which makes me understand in better way. Hope to see more videos.
far better than simple learn and edureka
I am following your lectures over the last few days.
I literally saw your subscriber count go up by 50, which included me too. :)
God bless you and I wish you reach the skies.
(And take these blessings seriously sir, they are from one lecturer to a great teacher :) )
Thank you.
Thanks a lot for blessings and wishes. It motivates me to do more hard work.
Super video & Teaching method
Sir, I have been following your playlist and Its great. Though i have one doubt after going through the YARN Tutorial.
When YARN was not into play, Map-reduce engine used to schedule tasks on the data Nodes wherever the data is stored (probably by analyzing the Name Node records). Run the map function instance on each data node and get the results.
But, when YARN comes into picture, it will allocate resources at random, it might allocate nodes where our file's data is not stored. in that case how do we supply a block of data(input splits) to the data node which is allocated to us by YARN to run our function instance? And what is the role of Name Node when in this case?
Excellent.
Thanks for sharing!
Awesome 😎
Make in depth lecture on hadoop cli and cloudera iaas..(infra as a service )
Hello, Please add Spark tutorial, I was first to request you this when you just started Hadoop series. You added Scala similar please add Spark soon. Thanks!
Great Video's Sir,could you please let me know where i can find written notes of above video?Thanks In Advance.
Check www.learningjournal.guru
Can't thank you enough. Your lectures are very clearly explained. Keep them coming :)
Awesome video
Awsome so simplified .
Sir what about hive we can simply install hive for rdbms
Awesome sir
Is this video still relevant since this is 4 year old video?
Excellent as always !!
You are absolutely fabulous, Sir.
Super
Such a brillant guy
Hadoop is dead