[Gfoss] [Fwd: [GEOKETTLE-USERS] A new version of GeoKettle released!]

Fabio D'Ovidio fabiodovidio a gmail.com
Mar 4 Nov 2008 10:07:04 CET


GeoKettle ha tutte le funzionalità di Kettle, con in più quelle 
spaziali. Quindi, puoi creare singole trasformazioni su flussi dati e\o 
job ossia un flusso di trasformzaioni.
In tal caso puoi richiamare tutti gli script che vuoi :-)

-- 
Fabio D'Ovidio
Geospatial solutions

INOVA s.r.l.
Web : http://www.inovaos.it
Tel.: 081 197 57 600
mail: fabiodovidio a gmail.com



Luca Manganelli ha scritto:
> Interessantissimo.   Per caso può creare degli script da essere 
> eseguiti da CRON et similia?
>
> Fabio D'Ovidio ha scritto:
>> Inoltro dalla ML di GEOKETTLE...
>>
>> Buon lavoro a tutti!
>>
>>
>> ------------------------------------------------------------------------
>>
>> Oggetto:
>> [GEOKETTLE-USERS] A new version of GeoKettle released!
>> Da:
>> Thierry Badard <Thierry.Badard a SCG.ULAVAL.CA>
>> Data:
>> Mon, 3 Nov 2008 17:06:06 -0500
>> A:
>> GEOKETTLE-USERS-SCG a LISTES.ULAVAL.CA
>>
>> A:
>> GEOKETTLE-USERS-SCG a LISTES.ULAVAL.CA
>>
>>
>> Hello,
>>
>> The GeoSOA research group (http://geosoa.scg.ulaval.ca) of the Centre
>> for Research in Geomatics at Laval University, Quebec City, Canada is
>> proud to announce the release of a new version of GeoKettle.
>>
>> GeoKettle v3.1.0-20081103 is still in alpha version but demonstrates the
>> potential of this ETL tool dedicated to spatial data warehouses and
>> Spatial OLAP (SOLAP) applications.
>>
>>
>> What's new since release 2.5.2-20080531 ?
>>
>>  - The GeoKettle extensions were ported to the new Pentaho Data
>>    Integration (PDI) version 3.1.0-GA. As such, this release of
>>    GeoKettle includes all the improvements from the new PDI version.
>>
>>  - Changed the core Geometry object framework from GeOxygene to the Java
>>    Topology Suite (JTS).
>>
>>  - Added native support for Oracle Spatial and MySQL geospatial DBMS.
>>
>>  - Speed improvements: due to the upgrade of PDI core and to the JTS
>>    library, GeoKettle now offers better throughput. We measured a
>>    typical speedup of row throughput between 15% and 60% (depending of
>>    the transformation) when using geospatial data.
>>
>>
>> For further details, to download GeoKettle and to join the active
>> GeoKettle community through the different mailing lists, please visit
>> the GeoKettle project page:
>>
>> http://www.geokettle.org
>>
>> Hoping you will enjoy GeoKettle.
>>
>> Th.
>>
>> ------------------------------------------------------------------------
>>
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>



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