Corso Vittorio Emanuele II, 39 - Roma 0669207671

Business management and digital technologies (Academic Year 2019/2020)

Big Data and Database Management


Credits: 9
Content language:English
Course description
Big Data and Database Management
Prerequisites
Descriptive statistics and probability, foundations of computer science
Objectives
• To explain Big Data and the various phases of Data Processing; • To identify and use the main models of Data Management; • To analyze and derive decisions based on the data obtained from Big Data Analytics.
Program
Database management systems, Data models, Business intelligence, Data warehousing, Data mining, Data quality management, Text mining, Big data management and innovation, Big Data analytics and visualization
Book
• Ramesh Sharda, Dursun Delen, Efraim Turban (2014): Business Intelligence and Analytics – Systems for Decision Support. Pearson, 10th edition. • Kenneth C. Laudon, Jane P. Laudon (2015). Management Information Systems: Managing the Digital Firm • Nenad Jukic (2013). Database Systems: Introduction to Databases and Data Warehouses • Judith Hurwitz (2015). Big Data for Dummies.
Exercises
Hands-on exercises that allow students to understand how to manipulate data sets
Professor/Tutor responsible for teaching
Luigi Biggeri
Video professors
Prof. Barbara Dinter - Chemnitz University of Technology (Chemnitz - Germania)
List of lessons
    •  Lesson n. 1: Introduction  Go to this lesson
Barbara Dinter
Barbara Dinter
Barbara Dinter
Barbara Dinter
Barbara Dinter
Barbara Dinter
Barbara Dinter
    •  Lesson n. 8: Data mining  Go to this lesson
Barbara Dinter
Barbara Dinter
Barbara Dinter
Barbara Dinter
Barbara Dinter
Barbara Dinter
    •  Lesson n. 14: Hadoop  Go to this lesson
Barbara Dinter
Barbara Dinter
    •  Lesson n. 16: Text mining  Go to this lesson
Barbara Dinter
Barbara Dinter
Barbara Dinter
Barbara Dinter
Barbara Dinter