UP

Big Data Management and Analytics

Postgraduate course. Face-to-face.

Content

4th EDITION
UPC School

Subjects

Data Management
3 ECTS. 24 teaching hours.
  • Introduction: Cloud computing and Services Engineering (XaaS)
  • Data management in Cloud Databases (NoSQL)        

                   - Theoretical principles of distributed systems
                   - The most widely used unstructured or semi-structured data models      
                   - Main types of managers: Key-Value, Document Stores, Graph DBs,      
                     Stream Processing.                                        
                   - Main query languages: SQL-like, MapReduce, etc.

  • Semantic data models

                     - The paradigm of Open Data / Linked Data
                     - RDF and SPARQL
  • How to  open data
  • Data integration and visualization.
Data Analytics
3 ECTS. 24 teaching hours.
  • Introduction: Basic statistics

                 - Profiling

  • Multivariate Analysis

                  - Principal Component Analysis
                  - Clustering
                  - Decision Trees: Classification and regression trees  

  • Machine Learning

                 - Association Rules 
                 - Supervised Methods                          
                 - Randomized forests                  
                 - Support Vector Machines


                                       

Hands-on Experience: Data Management and Analytics
5 ECTS. 40 teaching hours.
  • NoSQL tools

           - Hadoop Ecosystem
           - HBase
           - MongoDB
           - Neo4J

  • Query tools: MapReduce, Spark
  • Processing tools: Spark Stream
  • Open Data tools: Virtuoso
  • Data Analytics Tools: R-Studio, MLlib
  • Big Data systems architecture
Project and Entrepreneurship
4 ECTS. 32 teaching hours.
  • Introduction: The competitive environment of the company
  • Ethical considerations of Big Data: Business and Privacy
  • Business modelling tools: Business Model Canvas

              - Constituent parts
              - Practical cases
              - Resolution of cases: Twitter, Facebook, etc.

  • Creating a business

             - Legal issues
             - Financial considerations

  • Financing process

             - Private funding: Business Angels, Venture Capital
             - Public funding

  • Marketing: Introduction to Big Data projects
  • Presentation of the project
  • Monitoring the project
Information form
Send
(34) 93 112 08 65

INFORMATION 2016-17 EDITION

Next course:
October 2017

Credits:
15 ECTS
(120 teaching hours)

Timetable:
Wednesday  18:00 to 21:00Friday  18:00 to 21:00
Taught at:
Facultat d'Informàtica de Barcelona (FIB)

Registration fee:
3.600 €

Language of instruction:
Spanish

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