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VERSION:2.0
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BEGIN:VEVENT
DTSTAMP:20260704T094228Z
UID:936e37d6-2715-420e-9550-b51e7a17637e
DTSTART:20170207T083000Z
DTEND:20170210T153000Z
DESCRIPTION:This course is now full. We regret but we can't increase the p
 laces above 50. If you would like to take similar course in the next few m
 onths\, please check the program of the rest of the PATC to choose one of 
 their data related courses.\n\nPlease\, bring your own laptop. All the PA
 TC courses at BSC are free of charge.\n\nCourse Convener:  Maria-Ribera S
 ancho\n\nObjectives: The course brings together key information technologi
 es used in manipulating\, storing\, and analysing data including:\n\nthe b
 asic tools for statistical analysis\n	techniques for parallel processing\n
 	tools for access to unstructured data\n	storage solutions\nLearning outco
 mes: Students will be introduced to systems that can accept\, store\, and 
 analyse large volumes of unstructured data. The learned skills can be used
  in data intensive application areas.\n\nLevel: For trainees with some the
 oretical and practical knowledge\n\nAGENDA:\n\nDay 1 07/02:  Introduction
  (Vassil Alexandrov)Session 1: 9:30 – 13:00\n\nData Science current tren
 ds session will focus on results of the latest key studies both in Europe
  and the USA  in the area of Data Science and will outline the major tren
 ds\, findings and recommendations.\nCoffee break 11:00- 11:30\n\nData Scie
 nce definitions and mathematical foundations introduction. \nWhile tackli
 ng Big Data problems in many cases elementary or standard statistical appr
 oaches fail. New research methods are required to be developed to tackle s
 uch problems. Therefore this session will focus key research methods and a
 pproaches for Data Science\, ranging from theory creating and theory testi
 ng approaches to conceptual-analytical approaches and experimental ones\, 
 that are able to lead to discovering global properties on data. These will
  be mainly deterministic and hybrid (stochastic/deterministic) methods and
  algorithms.\n\nSession 2: 14:00 – 18:00\n\nThis session will focus on s
 everal key methods and algorithms (both serial and parallel) that enable t
 o discover global properties on data while dealing with Big Data:\n	Netwo
 rk Science\n		Multi Constrained and Multi-Objective Optimization\n		Exampl
 es of using the above approaches\n	\n	Examples using the above approaches 
 and some hands-on exercise\nCoffee break 16:00 – 16:30\n\nSocial Simulat
 ion Applications (Josep Casanovas)\n--------------------------------------
 -----------------------------------------------------------------\n \n\nD
 ay 2 08/02: \n\nSession 1: 9:30 – 13:00 (Albert Abelló and Petar Jovano
 vic)\n\nBig Data Management\nCoffee break 11:00- 11:30\n\nHands-on exercis
 e\nSession 2: 14:00-18:00  (Rizkallah Touma)\n\nNoSQL databases: The rela
 tional model has dominated data storage systems since the mid 1970s. Howev
 er\, the changing storage needs over the past decade have given rise to ne
 w models for storing data\, collectively known as NoSQL. In this presentat
 ion\, we will focus on two of the most common types of NoSQL databases: do
 cument-oriented databases and graph databases and explain the use cases su
 itable for each of them.\n	 \nCoffee break 16:00 - 16:30 \n\nMultidiscipl
 inary research and data analytics: Smart Cities (Dr. Maria Cristina Marin
 escu)\n-------------------------------------------------------------------
 ------------------------------------\n \n\nDay 3 9/02\n\nSession 1: 9:30 
 – 13:00 (Josep Lluis Berral)\n\nData Analytics with Apache Spark.\nApach
 e Spark has become a consolidated technology for large-scale processing in
  a fast and general way\, with “programmer-friendly” interfaces and of
 ficial bindings for many of the most used languages (Java\, Scala\, Pytho
 n and R)\, extensive documentation and development tools. This course intr
 oduces Apache Spark\, as well as some of its core libraries for data manip
 ulation\, machine learning\, data streams and graph analytics.\n\nCoffee 
 break 11:00- 11:30 \n\nSession 2: 14 :00 – 18 :00\n\nData Analytics wi
 th Apache Spark. Part 2\nCoffee break 16:00 – 16:30\n\nBig IoT Project (
 Dr. Ernest Teniente)\nDay 4 10/02: \n\nSession 1: 9:30 – 13 :00 (Dr. Ja
 vier Espinosa)\n\n Data visualizations are everywhere and are more import
 ant than ever. From creating a visual representation of data points as par
 t of an executive presentation\, to showcasing progress\, or visualizing c
 oncepts for customer segments\, data visualizations are a critical and val
 uable tool in many different situations. When it comes to big data\, weak 
 tools with basic features do not cut it so specific techniques should be a
 pplied. This course will address different techniques for visualizing big 
 data collections including a vision of the visualization process as a comp
 lex and greedy task and then as out of the box solution that can help to a
 nalyze and interpret big data collection.\nCoffee break 11:00- 11:30\n \n
 \nSession 2: 14:00– 18:00  \n\nHands-on Exercise\nCoffee break 16:00 
 – 16:30 \n\n Hands-on Exercise\n \n\nEND of COURSE\n\n \n\n \n\nhttp
 s://events.prace-ri.eu/event/536/
SUMMARY:Big Data Analytics @ BSC
URL;VALUE=URI:https://events.prace-ri.eu/event/536/
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