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 <CANN33zOUr56WKSMO4TLUGC7BwtqiN0xYL0J2ipFSGbPOpg55hw@mail.gmail.com>
Date: Tue, 14 Jul 2015 13:20:26 +0530
Message-ID: 
 <CAHUQ+_aMqXJko+pniGkk_zR9iYc=bZKag2KGvKoYe00NNb6OLQ@mail.gmail.com>
Subject: Re: Spark Intro
From: Akhil Das <akhil@sigmoidanalytics.com>
To: vinod kumar <vinodsachin006@gmail.com>
Cc: User <user@spark.apache.org>
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This is where you can get started
https://spark.apache.org/docs/latest/sql-programming-guide.html

Thanks
Best Regards

On Mon, Jul 13, 2015 at 3:54 PM, vinod kumar <vinodsachin006@gmail.com>
wrote:

>
> Hi Everyone,
>
> I am developing application which handles bulk of data around
> millions(This may vary as per user's requirement) records.As of now I am
> using MsSqlServer as back-end and it works fine  but when I perform some
> operation on large data I am getting overflow exceptions.I heard about
> spark that it was fastest computation engine Than SQL(Correct me if I am
> worng).so i thought to switch my application to spark.Is my decision is
> right?
> My User Enviroment is
> #.Window 8
> #.Data in millions.
> #.Need to perform filtering and Sorting operations with aggregartions
> frequently.(for analystics)
>
> Thanks in-advance,
>
> Vinod
>

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<div dir=3D"ltr"><div class=3D"gmail_default" style=3D"font-family:&#39;cou=
rier new&#39;,monospace;color:rgb(0,0,0)">This is where you can get started=
=C2=A0<a href=3D"https://spark.apache.org/docs/latest/sql-programming-guide=
.html">https://spark.apache.org/docs/latest/sql-programming-guide.html</a><=
/div></div><div class=3D"gmail_extra"><br clear=3D"all"><div><div class=3D"=
gmail_signature"><div dir=3D"ltr">Thanks<div>Best Regards</div></div></div>=
</div>
<br><div class=3D"gmail_quote">On Mon, Jul 13, 2015 at 3:54 PM, vinod kumar=
 <span dir=3D"ltr">&lt;<a href=3D"mailto:vinodsachin006@gmail.com" target=
=3D"_blank">vinodsachin006@gmail.com</a>&gt;</span> wrote:<br><blockquote c=
lass=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;=
padding-left:1ex"><div dir=3D"ltr"><br>Hi Everyone,<div><br></div><div><div=
>I am developing application which handles bulk of data around millions(Thi=
s may vary as per user&#39;s requirement) records.As of now I am using MsSq=
lServer as back-end and it works fine =C2=A0but when I perform some operati=
on on large data I am getting overflow exceptions.I heard about spark that =
it was fastest computation engine Than SQL(Correct me if I am worng).so i t=
hought to switch my application to spark.Is my decision is right?</div><div=
>My User Enviroment is</div><div>#.Window 8</div><div>#.Data in millions.</=
div><div>#.Need to perform filtering and Sorting operations with aggregarti=
ons frequently.(for analystics)</div></div><div><br></div><div>Thanks in-ad=
vance,</div><div><br></div><div>Vinod</div></div>
</blockquote></div><br></div>

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