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From Bill Busch <bigdat...@outlook.com>
Subject RE: Question
Date Thu, 04 Dec 2014 01:59:46 GMT
MapReduce can be used for both structure and unstructured data.   Hive is a storage and retrieval
mechanism (e.g. database).   The trouble with RDBMS is that you either have to parse the unstructured
data into a structured row /column format OR store it as an object.  There are issues both
performance and semantically .  Hence, there is a whole world of NoSQL databases out there
that have been developed that are not row-column structured.  These databases can handle more
schema-less/unstructured objects and will allow you to more eloquently manipulate your information.
     I would check out the Wikipedia page on NoSQL databases and focus on Key - Value, Columnar,
or Document databases.  

Date: Thu, 4 Dec 2014 07:06:16 +0530
Subject: Re: Question
From: mohan.25feb86@gmail.com
To: user@hive.apache.org

Thanks Gabriel for the prompt response
I see in online blogs saying  MapReduce for Unstructured Data , Pig for Semi Sturctured Data
and Hive is only for Structured Data. Can you please justify this? 

Thanks in advance


On Thu, Dec 4, 2014 at 6:56 AM, Gabriel Eisbruch <gabrieleisbruch@gmail.com> wrote:
Hi Mohan,    We are using hive for unstructured (or semi structured data) using map columns,
for example, we use for fixed data standard columns and form dynamic data map columns.
Gabriel.
2014-12-03 22:19 GMT-03:00 Mohan Krishna <mohan.25feb86@gmail.com>:
Hive is  for only structured data or it handles Unstructured data as well ?



 		 	   		  
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