Big Data

Course Code:
14BIG
Academic Degree:
master
Study Programme:
Logistics and Transport Processes Control (N1041A040005)
semesterlanguage
2czech
Form of Study:
full-time and part-time
Credits:
2
Number of Hours:
0 + 2 hours per week - in full-time study
8 hours per semester - in part-time study
Type of Course:
obligatory
Course Completion:
classified credit
Course Tutor:
 
roh  Training Course:
Ing. Jana Kaliková, Ph.D.
Ing. Jan Krčál, Ph.D.
roh  Part-time Study:
Ing. Jan Mejstřík
Ing. Ondřej Smíšek
Supervising Department:
Department of Applied Informatics in Transportation (16114)
Keywords:
big data, NoSQL database
Abstract:
Principle of MapReduce. Basic Principles of Big Data Management. Comparison and Classification of NoSQL Databases. Key Database Value Database. Column Databases. Document Databases. Graph Databases-Basic Principles. Graph Databases-Advanced Aspects. Indexing. Interpretation. Advanced Principles Big Data Management. NewSQL Database. Cloud computing. Data warehouses and Big Data. Cloud computing. Data warehouses and Big Data. Other Big Data issues.
Objectives:
The aim of the course is to acquaint students with new trends in database systems. We will focus on the current issue of Big Data and related issues of distributed storage and data processing. We will introduce basic types of NoSQL databases, but also cloud computing, data warehouses and distributed computing over large data.