1. 4 - Doe Open! Festival: Young Innovators #1: Stef van Grieken


    from Pakhuis de Zwijger / Added

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    Stef van Grieken – Technical Program Manager Google Stef van Grieken (1986) is jong, briljant en een zelfverklaarde nerd. Hij droomt van een samenleving die gemodelleerd is naar de idealen van het internet: open, transparant en gebaseerd op vertrouwen. Van de zorg tot de Kamer van Koophandel: alles zou beter georganiseerd kunnen worden als de overheid haar data vrij zou geven ten behoeve van de publieke zaak. Stef van Grieken is Technical Program Manager bij Google, oprichter van ondere andere Het Nieuwe Stemmen en betrokken bij programmeurscollectief Hack de overheid. (bron: de Correspondent)

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    • OpenDataSoft by Joshua, Open Data Program Manager


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      Joshua is an Open Data Program Manager. He has chosen OpenDataSoft to launch his Open Data portal.

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      • OpenDataSoft par Quentin, Responsable Innovation dans l'industrie


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        Quentin développe des services innovants dans l'industrie. Il utilise OpenDataSoft pour créer de la valeur avec ses données.

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        • Hadoop Tutorial: Oozie workflow credentials with a Hive action with Kerberos


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          In order to use an Oozie hive action with the Hive metastore server when Kerberos is enabled, you need to use HCat credentials in your workflow. See how you can do that in Hue! http://gethue.com

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          • Startupbootcamp Mentor Kick-Off Berlin 2013


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            We took the opportunity to ask our mentors some questions about last year's program and the value they get out of Startupbootcamp. Visit our website to find out more about the program: http://www.startupbootcamp.org/programs/berlin

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            • Hadoop tutorial: build and use Hive UDF in 1 minute!


              from The Hue Team / Added

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              Apache Hive (http://hive.apache.org) comes with a lot of built-in UDF, but what happens when you need a “special one”? This post is about how to get started with a custom Hive UDF from compilation to execution in Hue (http://gethue.com), the Hadoop UI, in no time.

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              • Real-time integrated solutions for the Intelligent Transportation industry


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                SQLstream turns live data into real-time value, enabling industries such as Transportation, Telecommunications and Automotive Telematics to integrate and analyze all their real-time data on a single, streaming Big Data platform. This success story is a real-time traffic analytics application, delivering real-time traffic congestion information based on live GPS data.

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                • Hadoop Tutorial - Hue: Schedule Hive queries with Oozie coordinators


                  from The Hue Team / Added

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                  In the previous episode we saw how to create an Hive action in an Oozie workflow. These workflows can then be repeated automatically with an Oozie coordinator. More info here: http://gethue.tumblr.com/post/61597968730/hadoop-tutorials-ii-3-schedule-hive-queries-with

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                  • Genetics, Cognition, Blood-brain-barrier Function and Drug Selection by Alan Schatzberg, Stanford University


                    from PMWC Intl / Added

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                    Speaker: Alan F. Schatzberg, M.D., Professor, Department of Psychiatry & Behavioral Sciences, Stanford University Prediction of antidepressant response has been a focus of considerable research with emphasis on genetic variation to predict response or side effects. Replication of findings has been lacking such that clinical application is limited. Researchers have argued that major depression is too broad a diagnosis, and response is difficult to discern in placebo-controlled trials, making it less likely to find response predictors. We will present data on an approach in which cognitive measures are combined with genetic markers to develop predictors within a more homogeneous subgroup of patients with major depression. The approach opens avenues for developing better predictors of response and personalized treatment of depression.

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                    • Visualization with Miriah Meyer


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                      The goal of this course is to develop a broad understanding of the principles, methods, and techniques for designing effective visualizations of data. The course will span a wide range of topics, encompassing foundations for both spatial (eg. gridded data from simulations and measurement devices) and nonspatial data (eg. graphs, text, high-dimensional tabular data), as well as the theory behind vision, color, and visualization design. You will gain experience in using cutting-edge data analysis systems, as well as in developing your own interactive visualization tools. Video produced by the SCI Institute and Lexie Floor

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