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MapReduce >> mail # user >> Map-Reduce V/S Hadoop Ecosystem


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RE: Map-Reduce V/S Hadoop Ecosystem
The way I understand it...

Hadoop is a distributed file system that allows you to create folders in its own NameSpace, copy  files to and  from your local Linux FS. Set-up Hadoop configuration for local|pseudo-distributed|fully-distributed cluster.

You write your jobs using MapReduce API and execute them in Hadoop eco-system. I write mine in Java and  would rate my experience, say at 6-7. I use Sqoop to import data into HDFS from RDMS MySql. I use Sqoop-generated classes to read data into the Mapper and design my own classes for the reducer which provide the required output.

Rgds,

-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]]
Sent: Wednesday, November 07, 2012 10:33 AM
To: [EMAIL PROTECTED]
Subject: Map-Reduce V/S Hadoop Ecosystem

Hello Hadoop Champs,

Please give some suggestion..

As Hadoop Ecosystem(Hive, Pig...) internally do Map-Reduce to process.

My Question is

1). where Map-Reduce program(written in Java, python etc) are overtaking Hadoop Ecosystem.

2). Limitations of Hadoop Ecosystem comparing with Writing Map-Reduce program.

3) for writing Map-Reduce jobs in java how much we need to have skills in java out of 10 (?/10)
Please put some light over it.
Thanks & Regards
Yogesh Kumar
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