A Community for Hadoop Users
help on hadoop for a beginner
i have read about basic stuff about hadoop..err i have a few douts...mind u am a begginer
1:so is hadoop a file sytem only?
2:can hbase be used instead of other databases in other platforms(eg java)?
3:what is mapreduce exactly and hw is it related to hadoop(i mean is it only about parallel computing.....i dont understand how much paralell computing is possible in a hadoop cloud sytem which is use for webhosting) .I require some help on the topic on clubbing "Cloud Computing,Hadoop and Webhosting"......please this is really important
4:Is hbase and hypertabe similar or is there a big difference
5:Can some one provide a map reduce implementation example other than related to search engine.
6:How is mapreduce and hadoop related?
7:Can i learn hadoop with a "cloudera's Distribution for Hadoop" vmware image..........
:can some one provide contact details for further help if u dont mind........... :)
1:so is hadoop a file sytem only?
2:can hbase be used instead of other databases in other platforms(eg java)?
3:what is mapreduce exactly and hw is it related to hadoop(i mean is it only about parallel computing.....i dont understand how much paralell computing is possible in a hadoop cloud sytem which is use for webhosting) .I require some help on the topic on clubbing "Cloud Computing,Hadoop and Webhosting"......please this is really important
4:Is hbase and hypertabe similar or is there a big difference
5:Can some one provide a map reduce implementation example other than related to search engine.
6:How is mapreduce and hadoop related?
7:Can i learn hadoop with a "cloudera's Distribution for Hadoop" vmware image..........
:can some one provide contact details for further help if u dont mind........... :)
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Replies to This Discussion
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Permalink Reply by Jason Venner on -
1) hadoop is traditionally the hadoop file system, hdfs, and the hadoop mapreduce service, combined
2) hbase can be used as a data store, it like all data stores has access patterns that work well and access patterns that do not.
3) read the google paper on map reduce, or read one of the books Pro Hadoop or the tom white Hadoop book.
4) hbase and hyper table are similar in concept but very different in implementation. Both provide a distributed data store, I believe in big table style. Hbase is in java and exists on top of a hadoop environment, while hypertable, I believe, is in c/c++ and stand alone.
5) there are many sample map reduce jobs available, fully functional ones are available in the source code examples for pro hadoop and the Tom White Hadoop Book.
6) hadoop provides an implementation of mapreduce optimized to run on top of hdfs.
7) the cloudera distribution is a wonderful learning environment
As for more help, many people on this site, and the public mailing lists answer questions, and in addition, many people on this site are available as paid consultants.
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