January - 24 - 2015 27 COMMENTS
In this presentation, Sameer Farooqui is going to introduce the Hadoop Distributed File System, an Apache open source distributed file system designed to run…
This is the class room training videos for Hadoop in DurgaSoftware solutions.
January 24th, 2015 at 9:58 am
Very Very Nice, really clear, slow, good insights, examples, I am starting
a new job and jumping into HaDoop, Solr, Hortonworks and I will keep you in
mind when we need help or training.
January 24th, 2015 at 10:03 am
Thank you very much, Sameer. Excellent tutorial! and you are talented
January 24th, 2015 at 11:00 am
AMAZING SAMEER,AMAZING, AMAZING…where is Map Reduce?
January 24th, 2015 at 11:58 am
Really good presentation, HELPFUL!
January 24th, 2015 at 1:01 pm
Thankyou Sameer, for this lucid yet insightful presentation. Just the right
detail for any stater. Great job:)
January 24th, 2015 at 1:11 pm
Great video! It really helped me understand what Hadoop is and how HDFS
works!! Thumbs up!!
January 24th, 2015 at 1:25 pm
Excellent intro. Thanks.
January 24th, 2015 at 1:53 pm
Very targeted presentation. Any other videos on the same theme?
January 24th, 2015 at 2:25 pm
Excellent presentation, both content, pace, & delivery. Thanks!
January 24th, 2015 at 3:39 pm
Good job, keep it up Sameer, It could be helpful too if you could tell on
what basis the client and NameNode decide which DataNode should be
contacted first during read operation( suppose the data block is on node 1
3, 7).
January 24th, 2015 at 3:54 pm
Is it single point of failure or failover. and you didn’t explain what
Secondary NameNode is? can you explain that also. a great lecture. thank
you..
January 24th, 2015 at 4:21 pm
excellent explanation with good examples for HDFS, nice work sir
January 24th, 2015 at 4:56 pm
I don’t think information about replications of file(s) will be sent to
client. It will be sent to NAME NODE. Client need not to know about
replications. Its Data nodes will not interact with clients directly. Only
single point of contact for clients is NAME NODE, Which stores all the
information of underlying infrastructure like where all the files(s) have
been scattered.
Correct me if i am wrong.
January 24th, 2015 at 5:24 pm
Excellent training session! All the very best Ram for your future
endavours!
January 24th, 2015 at 6:55 pm
I spent 1 hour listening, think this is one of the best “HDFS Architecture”
video I have found so far. Kudos!!!!
January 24th, 2015 at 7:15 pm
Nice explanation ! However one question. What if the the data node where
Reducer resides, goes down. In that case how does the output processing is
done, do we have a replication factor configured for the output as well ?.
And how many Reducer’s are available in a clustered environment.
January 24th, 2015 at 8:08 pm
Its a best lecture I had ever on Big Data HDFC. Really thankful to you.
January 24th, 2015 at 8:39 pm
Very concise and spot on. No BS. Thanks!
January 24th, 2015 at 10:09 pm
Nice explanation……very useful….thank you RK…ALL THE BEST
January 24th, 2015 at 11:09 pm
Dear Rama Krishna,
Really good to listen your session. Especially, your real time example is
very good. Keep this up. Thanx for your valuable effort.
January 25th, 2015 at 12:07 am
Hi Sir,
very well explanation.Please provide me the sequence of these videos.Thanks
in advance.
January 25th, 2015 at 12:19 am
Good Explanation!!
January 25th, 2015 at 1:13 am
Great Video sir… We really need such tutors who can teach us so well.
January 25th, 2015 at 1:51 am
Sir I have a question like, What will happen if I update my block size from
64MB to 128MB. what will happen to existing files which were saved with 64
MB block size?
January 25th, 2015 at 2:29 am
Excellent Job! Great for beginners !!
Can you please create a playlist so that we can now the link to the next
video !
January 25th, 2015 at 3:11 am
Superb explanation… really appreciative explanation..
January 25th, 2015 at 4:05 am
Hi rama krishna very nice presentation the problem for me is the pogramming
and instead of this can we do the job done by using HIVE and PIG