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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260707T153710Z
UID:c1d08238-5438-4247-9245-d7e5f4eee553
DTSTART:20190110T093000Z
DTEND:20190111T153000Z
DESCRIPTION:Apache Spark is an open-source framework for cluster computing\
 , ideal for large-scale parallel data processing\, that is designed for pe
 rformance and ease-of-use. It is faster and simpler to use than Hadoop Map
 Reduce\, providing a rich set of APIs in Python\, Java and Scala.\n\nThis 
 hands-on course will cover the following topics:\n\n\n	Introduction to Spa
 rk\n	Map\, Filter and Reduce\n	Running on a Spark Cluster\n	Key-value pair
 s\n	Correlations\, logistic regression\n	Decision trees\, K-means\n\n\nSes
 sions\n\n09:30 - 17:30 (Thu)\n09:30 - 15:30 (Fri)\n\nAttendees will be pro
 vided with access to EPCC's Tier2 Cirrus system for all practical exercise
 s.\n\nThe practicals will be done using Jupyter notebooks so a basic knowl
 edge of Python would be extremely useful.\n\nTimetable\n\nFull timetable a
 nd course materials\nhttps://events.prace-ri.eu/event/805/
SUMMARY:Introduction to Spark for Data Scientists @ EPCC
URL;VALUE=URI:https://events.prace-ri.eu/event/805/
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