aspose file tools*
The moose likes Hadoop and the fly likes Beyond Hello World Big Moose Saloon
  Search | Java FAQ | Recent Topics | Flagged Topics | Hot Topics | Zero Replies
Register / Login


Win a copy of EJB 3 in Action this week in the EJB and other Java EE Technologies forum!
JavaRanch » Java Forums » Databases » Hadoop
Bookmark "Beyond Hello World" Watch "Beyond Hello World" New topic
Author

Beyond Hello World

Nishant Sonar
Greenhorn

Joined: May 15, 2006
Posts: 2

Hello Chuck

I read hadoop books previously from O'Rielly Hadoop Definitive Guide, also followed some articles available from the Internet , but i could not go ahead of hello world program as I felt the difficulty in mapping the problem domain to writing map reduce programs. Also I felt it very difficult to map the mappers and reducers in the hadoop distributable with the problem domain.
Do you have any notion in your books towards mapping the problem in map reduce programs.

Nissshh
Campbell Ritchie
Sheriff

Joined: Oct 13, 2005
Posts: 36453
    
  15
I know it is a few days since you joined, but this seems to be just about your 1st post.

Welcome to JavaRanch
Chuck Lam
author
Greenhorn

Joined: Aug 09, 2010
Posts: 12
One thing I kept in mind in writing the book was to have many realistic examples using MapReduce, so you can see various ways of applying it. MapReduce is a different way at structuring problems so it does take some time to get used to. Just as a event-based framework helps a lot in writing GUIs, the MapReduce framework helps in writing large data processing programs. The hurdle is getting used to a different view on this class of problems.
Hussein Baghdadi
clojure forum advocate
Bartender

Joined: Nov 08, 2003
Posts: 3476

I'm wondering how a "Hello World" program is doable in Hadoop.
 
I agree. Here's the link: http://aspose.com/file-tools
 
subject: Beyond Hello World
 
Similar Threads
Hadoop in the cloud
Hadoop - One Map and many Reduces
advanced technology than RMI for developing Distributed applications?
candidate for map reduce
Hadoop Rocks