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Date: Tue, 11 Mar 2014 11:41:43 -0400
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 <CAOP8aV-G8kB5FzFOQm8x_yzJpiYwQrU9ejHGh2NPKw-0PtzKmw@mail.gmail.com>
Subject: Re: DSE Hadoop support for provisioning hardware
From: Jonathan Lacefield <jlacefield@datastax.com>
To: "user@cassandra.apache.org" <user@cassandra.apache.org>
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Hello,

  Not sure this question is appropriate for the Open Source C* users group.
 If you would like, please email me directly to discuss DataStax specific
items.

Thanks,

Jonathan

jlacefield@datastax.om

Jonathan Lacefield
Solutions Architect, DataStax
(404) 822 3487
<http://www.linkedin.com/in/jlacefield>


<http://www.datastax.com/what-we-offer/products-services/training/virtual-training>


On Tue, Mar 11, 2014 at 11:27 AM, Ariel Weisberg <ariel@weisberg.ws> wrote:

> Hi,
>
> I am doing a presentation at Big Data Boston about how people are
> bridging the gap between OLTP and ingest side databases and their
> analytic storage and queries. One class of systems I am talking about
> are things like HBase and DSE that let you run map reduce against your
> OLTP dataset.
>
> I remember reading at some point that DSE allows you to provision
> dedicated hardware for map reduce, but the docs didn't seem to fully
> explain how that works.I looked at
>
> http://www.datastax.com/documentation/datastax_enterprise/4.0/datastax_enterprise/ana/anaStrt.html
>
> My question is what kind of provisioning can I do? Can I provision
> dedicated hardware for just the filesystem or can I also provision
> replicas that are dedicated to the file system and also serving reads
> for map reduce jobs. What kind of support is there for keeping OLTP
> reads from hitting the Hadoop storage nodes and how does this relate to
> doing quorum reads and writes?
>
> Thanks,
> Ariel
>

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<div dir=3D"ltr">Hello,<div><br></div><div>=A0 Not sure this question is ap=
propriate for the Open Source C* users group. =A0If you would like, please =
email me directly to discuss DataStax specific items.</div><div><br></div><=
div>
Thanks,</div><div><br></div><div>Jonathan</div><div><br></div><div><a href=
=3D"mailto:jlacefield@datastax.om">jlacefield@datastax.om</a></div></div><d=
iv class=3D"gmail_extra"><br clear=3D"all"><div><div dir=3D"ltr">Jonathan L=
acefield<div>
Solutions Architect, DataStax</div><div>(404) 822 3487</div><div><a href=3D=
"http://www.linkedin.com/in/jlacefield" target=3D"_blank"><img src=3D"http:=
//s.c.lnkd.licdn.com/scds/common/u/img/logos/logo_linkedin_92x22.png"></a><=
br>
</div><div><br></div><div><br></div><div><a href=3D"http://www.datastax.com=
/what-we-offer/products-services/training/virtual-training" target=3D"_blan=
k"><img src=3D"http://www.datastax.com/wp-content/themes/datastax-2013/imag=
es/email-sig/email-sig-virtual-training.png"></a><br>
</div></div></div>
<br><br><div class=3D"gmail_quote">On Tue, Mar 11, 2014 at 11:27 AM, Ariel =
Weisberg <span dir=3D"ltr">&lt;<a href=3D"mailto:ariel@weisberg.ws" target=
=3D"_blank">ariel@weisberg.ws</a>&gt;</span> wrote:<br><blockquote class=3D=
"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding=
-left:1ex">
Hi,<br>
<br>
I am doing a presentation at Big Data Boston about how people are<br>
bridging the gap between OLTP and ingest side databases and their<br>
analytic storage and queries. One class of systems I am talking about<br>
are things like HBase and DSE that let you run map reduce against your<br>
OLTP dataset.<br>
<br>
I remember reading at some point that DSE allows you to provision<br>
dedicated hardware for map reduce, but the docs didn&#39;t seem to fully<br=
>
explain how that works.I looked at<br>
<a href=3D"http://www.datastax.com/documentation/datastax_enterprise/4.0/da=
tastax_enterprise/ana/anaStrt.html" target=3D"_blank">http://www.datastax.c=
om/documentation/datastax_enterprise/4.0/datastax_enterprise/ana/anaStrt.ht=
ml</a><br>

<br>
My question is what kind of provisioning can I do? Can I provision<br>
dedicated hardware for just the filesystem or can I also provision<br>
replicas that are dedicated to the file system and also serving reads<br>
for map reduce jobs. What kind of support is there for keeping OLTP<br>
reads from hitting the Hadoop storage nodes and how does this relate to<br>
doing quorum reads and writes?<br>
<br>
Thanks,<br>
Ariel<br>
</blockquote></div><br></div>

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