+1
On Wed, Jun 18, 2014 at 3:50 AM, Andrea Aime <[email protected]>
wrote:
> +1
>
> Cheers
> Andrea
>
>
> On Wed, Jun 18, 2014 at 8:20 AM, Jody Garnett <[email protected]>
> wrote:
>
>> If we can kick this one along:
>>
>> *Alessio Fabiani:*
>> *Andrea Aime:*
>> *Ben Caradoc-Davies: +1*
>> *Christian Mueller +1*
>> *Gabriel Roldán:*
>> *Jody Garnett: +1*
>> *Jukka Rahkonen: +1*
>> *Justin Deoliveira:*
>> *Phil Scadden:*
>> *Simone Giannecchini:*
>>
>>
>> Jody Garnett
>>
>>
>> On Thu, May 29, 2014 at 7:24 PM, Jody Garnett <[email protected]>
>> wrote:
>>
>>> Proposal is here:
>>>
>>> - https://github.com/geoserver/geoserver.github.io/wiki/GSIP-116
>>>
>>> You can use the edit button to directly vote on the wiki page.
>>> --
>>> Jody Garnett
>>>
>>
>>
>>
>> ------------------------------------------------------------------------------
>> HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
>> Find What Matters Most in Your Big Data with HPCC Systems
>> Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
>> Leverages Graph Analysis for Fast Processing & Easy Data Exploration
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>>
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>>
>>
>
>
> --
> ==
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> ==
>
> Ing. Andrea Aime
> @geowolf
> Technical Lead
>
> GeoSolutions S.A.S.
> Via Poggio alle Viti 1187
> 55054 Massarosa (LU)
> Italy
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>
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>
> -------------------------------------------------------
>
>
> ------------------------------------------------------------------------------
> HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
> Find What Matters Most in Your Big Data with HPCC Systems
> Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
> Leverages Graph Analysis for Fast Processing & Easy Data Exploration
> http://p.sf.net/sfu/hpccsystems
> _______________________________________________
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>
--
*Justin Deoliveira*
Vice President, Engineering | Boundless
[email protected]
@j_deolive <https://twitter.com/j_deolive>
------------------------------------------------------------------------------
HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
Find What Matters Most in Your Big Data with HPCC Systems
Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
Leverages Graph Analysis for Fast Processing & Easy Data Exploration
http://p.sf.net/sfu/hpccsystems
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