BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260708T142434Z UID:843b9f31-340b-4d85-880f-61c7c73aec97 DTSTART:20190205T083000Z DTEND:20190208T153000Z DESCRIPTION:Registration is now open. Please\, bring your own laptop. All the PATC courses at BSC are free of charge.\n\nCourse Convener:  Maria-Ri bera Sancho\n\nObjectives: The course brings together key information tech nologies used in manipulating\, storing\, and analysing data including:\n\ n\n the basic tools for statistical analysis\n techniques for parallel pro cessing\n tools for access to unstructured data\n storage solutions\n\n\nL earning outcomes: Students will be introduced to systems that can accept\, store\, and analyse large volumes of unstructured data. The learned skill s can be used in data intensive application areas.\n\nLevel: For trainees with some theoretical and practical knowledge\n\nAGENDA: \n\nDay 1 (Feb 5 )\n\n9:30 – 13:00 Introduction to Big Data (Vassil Alexandrov)\n\nData S cience current trends session will focus on results of the latest key stud ies both in Europe and the USA in the area of Data Science and will outlin e the major trends\, findings and recommendations.\n\n11:00 - 11:30 Coffee break \n\nData Science definitions and mathematical foundations introduct ion. \n\nWhile tackling Big Data problems in many cases elementary or stan dard statistical approaches fail. New research methods are required to be developed to tackle such problems. Therefore\, this session will focus key research methods and approaches for Data Science\, ranging from theory cr eating and theory testing approaches to conceptual-analytical approaches a nd experimental ones\, that are able to lead to discovering global propert ies on data. These will be mainly deterministic and hybrid (stochastic/det erministic) methods and algorithms.\n\n13:00 – 14:00 Lunch Break\n\n14:0 0 – 16:00 Introduction to Big Data (Vassil Alexandrov)\n\nThis session w ill focus on several key methods and algorithms (both serial and parallel) that enable to discover global properties on data while dealing with Big Data: \n\nNetwork Science\n\nMulti Constrained and Multi-Objective Optimiz ation\n\nExamples using the above approaches and some hands-on exercise\n\ n16:00 – 16:30 Coffee break \n\n16:30 – 18:00 Harnessing the Power of Big Data and Simulation for Societal Challenges (Josep Casanovas and Isa R omanowska)\n\nThe scale of challenges our societies face nowadays calls fo r innovative and creative methods and solutions. Here\, we present the rol e of simulation in modern scientific practice and its complementarity to d ata driven applications. Focusing on a relatively novel technique – agen t-based modelling we show how by using High Performance Computing enabled methods we can simulate large scale processes and mechanisms driving human societies at different scales. The marriage between Big Data and Agent-ba sed modelling is a particularly promising avenue of research that should b e explored further to advance our social science toolset.\n\n\nDay 2 (Feb 6) \n\n9:30 – 13:00 Data Analytics with Apache Spark (Josep Lluis Berra l) \n\n11:00 - 11:30 Coffee break \n\nApache Spark has become a consolidat ed technology for large-scale processing in a fast and general way\, with “programmer-friendly” interfaces and official bindings for many of the most used languages (Java\, Scala\, Python and R)\, extensive documentati on and development tools. This course introduces Apache Spark\, as well as some of its core libraries for data manipulation\, machine learning\, dat a streams and graph analytics.\n\n13:00 – 14:00 Lunch Break\n\n14:00 – 16:00 Data Analytics with Apache Spark. Part 2 (Josep Lluis Berral) \n\n1 6:00 – 16:30 Coffee break \n\n16:30 – 18:00 Big IoT Project (Dr. Ernes t Teniente)\n\n\n \n\nDay 3 (Feb 7)\n\n9:30 – 13:00 Big Data Management (Albert Abelló and Petar Jovanovic) \n\n: Big Data has many definitions and facets\, we'll pay attention to the problems we have to face to store it and how we can process it. More specifically\, we'll focus on the Apach e Hadoop ecosystem and its two basic components\, namely HBase and MapRedu ce engine.\n\n11:00 - 11:30 Coffee break \n\nHands-on exercise\n\n13:00 – 14:00 Lunch Break\n\n14:00 - 16:00 NoSQL databases (Oscar Romero)\n\nT he relational model has dominated data storage systems since the mid 1970s . However\, the changing storage needs over the past decade have given ris e to new models for storing data\, collectively known as NoSQL. In this pr esentation\, we will focus on two of the most common types of NoSQL databa ses: document-oriented databases and graph databases and explain the use c ases suitable for each of them.\n\n16:00 - 16:30 Coffee break \n\n16:30 - 18:00 Multidisciplinary research and data analytics: Smart Cities (Maria C ristina Marinescu)\n\n \n\nDay 4 (Feb 8) \n\n9:30 – 13:00 Practical Dat a Analytics for Solving Real World Problems (Carlos Carrasco) \n\nData ana lytics has changed the way we make decisions. We see the benefits and the advances in many fields that go from financial to medical and industrial a pplications due to the integration of advanced data analytics. In this cou rse we will propose practical tips gained through our experience at BSC in big data analytics projects. We will also discover how to overcome some o f the most challenging tasks in practical data analytics.\n\n11:00 - 11:30 Coffee break \n\n \n\nEND of COURSE\n\n \n\n \nhttps://events.prace-ri .eu/event/761/ SUMMARY:Big Data Analytics @ BSC URL;VALUE=URI:https://events.prace-ri.eu/event/761/ END:VEVENT END:VCALENDAR