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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024
UPOZORNĚNÍ: Jsou dostupné studijní plány pro následující akademický rok.

Big Data

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Code Completion Credits Range Language
614BIG KZ 2 0P+2C+8B Czech
Garant předmětu:
Lecturer:
Ondřej Smíšek
Tutor:
Ondřej Smíšek
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:
Time-table for winter semester 2023/2024:
Time-table is not available yet
Time-table for summer semester 2023/2024:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
roomDP:225
Smíšek O.
13:15–14:45
(lecture parallel108)
Decin
PU1 (SM4)
roomDP:225
Smíšek O.
15:00–16:30
(lecture parallel108)
Decin
PU1 (SM4)
Tue
Wed
Thu
Fri
The course is a part of the following study plans:
Data valid to 2024-03-27
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