Big Data

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department Děčín

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:

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:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• KOMBI navaz. mag. studium v 21-22 programu LA (compulsory course)
• KOMBI navaz. mag. studium v 22-23 programu LA (compulsory course)