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From Mohan Krishna <mohan.25fe...@gmail.com>
Subject Re: Question
Date Thu, 04 Dec 2014 02:02:31 GMT
Thankyou Gabriel
Your answers are very useful to me. Thanks a lot



On Thu, Dec 4, 2014 at 7:29 AM, Bill Busch <bigdata73@outlook.com> wrote:

> 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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