-RE: Map-Reduce V/S Hadoop Ecosystem
Kartashov, Andy 2012-11-07, 16:06
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.
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
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