SAP sigue en su carrera de compras y tecnologías BI tras Business Objects, que
incluía Crystal Reports y Xcelsius, con la compra deRoambi [http://roambi.com/].
El mundo del BI ha cambiado en estos años y tras la gran inversión en desarrollo
hecho en SAP Hana, la irrupción del Big
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Now you can check latest tips on Business Intelligence Open Source, mainly
Pentaho, Ctools and Saiku in Jaanuary. You can see some of this tips implemented
in stratebi demos [http://pentaho5.stratebi.com/]. This month with great stuff:
- http://kylin.apache.org/blog/2015/12/23/release-v1.2/ -
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Data, data, data... and visualization
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[http://www.boozallen.com/content/dam/boozallen/documents/2015/12/2015-FIeld-Guide-To-Data-Science.pdf]
The Field Guide
[http://www.boozallen.com/content/dam/boozallen/documents/2015/12/2015-FIeld-Guide-To-Data-Science.pdf]
(download in previous link) to Data Science spells out what data science is, why
it matters to organizations, as well as how to
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Greenplum [http://greenplum.org/], que hay tenido diferentes estrategias desde
su creación, se convierte ahora en una de las mejores alternativas Open Source
para entornos Data Warehouse, basada en PostgreSQL
Greenplum Database is an advanced, fully featured, open source data warehouse.
It provides powerful and rapid analytics on petabyte scale
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Un paso más en el uso del Big Data para Análisis y Business Intelligence
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If you like, work and fun with data and visualization you should check this:
DataViz Tools
[http://keshif.me/demo/VisTools?utm_campaign=Data%2BElixir&utm_medium=web&utm_source=Data_Elixir_69]
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This year, OSGeo and FOSSGIS e.V. as organizer invite you to Bonn, Germany
between August 20th and 28th to share and acquire knowledge, acquaintances,
friends and positive energy through all the activities we are planning for you:
code sprints, workshops, B2B meetings, pub race, icebreaker, gala event and, of
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Very few people are aware that big data has a little-known history that goes
back to the early c18000 BCE!
As we are at the start of 2016, lets look back and see the long history of Big
Data and some of the important milestones.
Visto en TavtaSoft [http://www.
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