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.25fe...@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 <gabrieleisbr...@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.25fe...@gmail.com>:
Hive is for only structured data or it handles Unstructured data as well ?
