October - 14 - 2014 26 COMMENTS
http://www.edureka.co/big-data-and-hadoop Email Us: hadoopsales@edureka.co,phone : +91-8880862004 Click on the link to watch the updated version of this vide…
Video Rating: 4 / 5
Find more resources at: http://hortonworks.com/what-is-apache-hadoop/ Hadoop lets you manage big data. In this Basic Introduction to Hadoop Video, (http://yo…
October 14th, 2014 at 11:15 pm
Hi Subbareddy Yannam, here is a link to our blog post that provides in
depth and comprehensive response to your query.
http://www.edureka.in/blog/switching-careers-from-a-java-to-big-data-hadoop/
October 15th, 2014 at 12:03 am
New Hadoop Batches starting every week. check the upcoming batch details at
http://www.edureka.in/hadoop
October 15th, 2014 at 12:48 am
Its very very nice tutorials for Big data and Hadoop 🙂 🙂
I am working in Natural Language Processing domain and I will start
research on BIG Data analysis. This tutorials is helping me a lot! Thanks
to edureka!
October 15th, 2014 at 1:28 am
Watch Big Data Usecases and Hadoop Architecture
Big Data and Hadoop 2 | Hadoop Tutorial 2 |Big Data Tutorial 2 |Hadoop
Tutorial for Beginners – 2
October 15th, 2014 at 1:51 am
Good Job Abhishek.. good one for learning for new learner..it would be
great if you can add some practical stuff
October 15th, 2014 at 2:37 am
what is the next video after this can u provide plz
October 15th, 2014 at 3:08 am
This video is awesome.Before watching this video i don’t have any knowledge
on BIG DATA and where all HADOOP can be used.This is very useful for HADOOP
beginners and thanks to Abhishek for his in detail explanation.
October 15th, 2014 at 3:12 am
Awsome lecture!! Thanks to Abhishek and Edureka!!!
October 15th, 2014 at 3:20 am
Hiii
Awesome abhishek but i have some questions regarding this class
1. I/O i didn’t understand its role
2. if files has to be written in rack 1 rack2 then client will write in 2
times in different rack and later on data node will write in other node??
How to join these classes????
October 15th, 2014 at 3:22 am
This Theory is available every where ..please post technical stuff -do
one POC . that will be helpful to every one to understand hadoop and
utilities. How they can leverage into real world scenario.
October 15th, 2014 at 4:05 am
Very informative :)
October 15th, 2014 at 4:27 am
nice classes dear….
October 15th, 2014 at 4:51 am
Excellent Teaching by Abhishek.. I really appreciate him for his sound
knowlege and humor.. Thanks for interactive session.. Thanks again to
Edureka for posting this classes.. Please keep on post this kind of videos
which helps all..
October 15th, 2014 at 5:49 am
Very informative class , never got bored thanks to abishek 🙂 give this guy
a hike 🙂 :)
October 15th, 2014 at 6:37 am
Great lecture. Thanks edureka!
🙂 Smiley for Abhishek
October 15th, 2014 at 7:29 am
what happens if we specify mongodb document as input to Hadoop job. for ex:
MongoConfigUtil.setInputURI( conf, “mongodb://localhost/test.in” );
1)will it access directly from mongodb ?(or )
2)will it copy mongo documents to hdfs then provides inputsplit to the job?
October 15th, 2014 at 8:15 am
Very well driven by the instructor.
October 15th, 2014 at 9:02 am
videos are very nice but u should include annotations in videos for foreign
learners
October 15th, 2014 at 9:24 am
its learning for me but too much repetition of words this presentation can
be covered in less time if you have not asked for smile after every
statement …presentation is being done in friendly way for a question you
are asking for each participants and cross questions happening in
delivering speech 🙁 it could be better dont make these so slow …
October 15th, 2014 at 10:18 am
Super… i spent my day worth watching this video….
October 15th, 2014 at 10:46 am
nice.
October 15th, 2014 at 12:02 pm
Simple & to detail..
October 15th, 2014 at 12:19 pm
Nice Overview…. quick and easy…
October 15th, 2014 at 12:24 pm
Great video with great brevity and description
October 15th, 2014 at 1:22 pm
Very good!! Thanks for the session.
October 15th, 2014 at 2:06 pm
We need more of these no bs overview of what is happening with all Hadoop
projects.