Big Data
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
14BIG | KZ | 2 | 0P+2C+8B | Czech |
- Course guarantor:
- Jana Kaliková
- Lecturer:
- Jana Kaliková, Jan Krčál
- Tutor:
- Jana Kaliková, Jan Krčál
- Supervisor:
- Department of Applied Informatics in Transportation
- Synopsis:
-
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.
- Requirements:
-
basic knowledge of relational databases
- Syllabus of lectures:
- Syllabus of tutorials:
-
1. A Review of relational databases
2. Big Data concept and principles of distributed data processing, History and origin of NoSQL databases, comparison of relational vs. NoSQL databases
3. Basic principles of NoSQL databases
4. Types of NoSQL databases
5. E-R model, Workflow model
6. - 7. Working with Oracle db
8.-10. Example db Oracle
11. -12. Example db Cassandra
- Study Objective:
-
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.
- Study materials:
-
Big Data, Viktor Mayer-Schönberger, ISBN: 978-80-251-4119-9
Big Data a NoSQL databáze, Holubová Irena, Kosek Jiří, Minařík Karel, Novák David, ISBN: 978-80-247-5466-6
- Note:
- Time-table for winter semester 2024/2025:
- Time-table is not available yet
- Time-table for summer semester 2024/2025:
- Time-table is not available yet
- The course is a part of the following study plans:
-
- Master Full-Time LA from 2022/23 (compulsory course)
- Master Full-Time IS (joint degree) from 2023/24 (compulsory course)
- Master Full-Time LA from 2024/25 (compulsory course)
- Master Part-Time LA from 2024/25 (compulsory course)