Big data preparation with Spark

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Activités de formation

"Data Scientist" undoubtedly takes the title of the hottest profession in the early 21st century. Things like Machine Learning, Big Data Analytics, Story-Telling and Data Visualization are some of the most sought after skills in almost every industry and are all “must haves” in order to succeed in this increasingly competitive sector of the job market. But in the glamorous world of Data Science, one key aspect of the job - the one where Data Scientists actually spend most of their time and effort - does not get as much attention: preparing data so the skills above can be put to use. 

This workshop, given by Calcul Québec, will reveal this hidden side of the profession and introduce participants to one of the most widely used Big Data Processing technologies across industries: Apache Spark, in an interactive format where you will learn as you do!


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Radiotherapy treatments currently used in the clinical field are rarely modified. They generally consist of a global therapy of 50 grays, fractionated in five treatments of two grays every week for five weeks.
Thus, it could be worthwhile to develop a numeric tool, based on mathematical models found in the literature, in order to compare different types of treatment without having to test them on real tissues. Several parameters are known to alter the tissue response after irradiation including oxygen

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