1.To understand and use the main technologies for database management;
To use SQL language for performing efficient queries in cases of large datasets;
To understand how to index and query multimedia datasets
To become aware of the existing benchmarks and their liminations for training and comparing data analysis techniques.
Knowledge and understanding
2.To understand the main concepts of management database systems
To understand concepts and tools for generating and querying datasets at different scales
To understand techniques for indexing and searching multimedia datasets
To understand how potential biases in data collection may affect analytics methods
Applying knowledge and understanding
3.To be able to effectively understand and use the main tools for creating and querying SQL and NoSQL datasets.
To query and analysis multimedia at large scale
To understand proper benchmarks and analysing achieved results also in terms of potential biases
Big Data Analytics
This module covers the fundamental concepts of management and design of a business intelligence system. Topics include data models for building a data warehouse; ETL (extract, transform and load) functionalities; OLAP analysis; basic data mining; reporting and interactive dashboards, evolution of BI architectures on large datasets. The module covers techniques and algorithms for data visualization and exploratory analysis based on principles and techniques from graphic design, perceptual psychology and cognitive science. It is targeted to using visualization in their data analytics work.
4.To understand and use the main methodologies and techniques for data analysis
to understand the main methodologies to design a data warehouse
to understand the main methodologies to transform data into sources of knowledge through visual representation
Knowledge and understanding
5.To understand the most important methodologies and techniques used by industries to analyse data in order to support the decision process
To understand the main methodologies to design a data warehouse
To understand the main methodologies to transform data into sources of knowledge through visual representation
Applying knowledge and understanding
To be able to apply methodologies and techniques to analyse data.
To be able to design a data warehouse.
To be able to build report and data analysis and organize them into interactive dashboards