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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024

Database Systems II

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Code Completion Credits Range Language
B4M36DS2 Z,ZK 6 2P+2C Czech

It is not possible to register for the course B4M36DS2 if the student is concurrently registered for or has already completed the course BE4M36DS2 (mutually exclusive courses).

It is not possible to register for the course B4M36DS2 if the student is concurrently registered for or has previously completed the course BE4M36DS2 (mutually exclusive courses).

The requirement for course B4M36DS2 can be fulfilled by substitution with the course BE4M36DS2.

Garant předmětu:
Yuliia Prokop
Lecturer:
Yuliia Prokop
Tutor:
Yuliia Prokop
Supervisor:
Department of Computer Science
Synopsis:

The aim is to introduce new trends in database systems to students. We will focus primarily on the current issues of Big Data and the associated problems of distributed storage and processing of data. We will introduce a

so-called basic types of NoSQL databases and also the related issue of cloud computing, data storage and distributed computations over large data files.

Requirements:
Syllabus of lectures:

1. Introduction to Big Data and NoSQL databases

2. MapReduce

3. Basic principles of Big Data Management (CAP theorem, distribution,

scaling, replication)

4. Comparison and classification of NoSQL databases

5. The database type of key - value

6. Column database

7. Document Database

8. Graph database - basic principles

9. Graph databases - advanced aspects of indexing, querying

10. Advanced Principles of Big Data management (transaction performance,

polyglot persistence)

11. NewSQL database

11. Cloud computing

13. Data warehouses and Big Data

14. Other problems associated with Big Data - data analysis, data

generators, benchmarking.

Syllabus of tutorials:
Study Objective:
Study materials:

1.http://nosql-database.org/

2.Pramod J. Sadalage - Martin Fowler: NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence

3.Eric Redmond - Jim R. Wilson: Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement

4.Sherif Sakr - Eric Pardede: Graph Data Management: Techniques and Applications

5.Shashank Tiwari: Professional NoSQL

6.Jeffrey Dean and Sanjay Ghemawat: MapReduce: Simplified Data Processing on Large Clusters, Google, Inc.

7.Google Code: Introduction to Parallel Programming and MapReduce

8.Hadoop: The Definitive Guide, by Tom White, 2nd edition, Oreilly?s, 2010

Note:
Further information:
https://cw.fel.cvut.cz/wiki/courses/b4m36ds2/
Time-table for winter 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
roomKN:E-301
Prokop Y.
09:15–10:45
(lecture parallel1)
Karlovo nám.
Šrámkova posluchárna K9
roomKN:E-328
Prokop Y.
12:45–14:15
(lecture parallel1
parallel nr.101)

Karlovo nám.
Bourací učebna
roomKN:E-328
Prokop Y.
14:30–16:00
(lecture parallel1
parallel nr.102)

Karlovo nám.
Bourací učebna
roomKN:E-328
Prokop Y.
16:15–17:45
(lecture parallel1
parallel nr.103)

Karlovo nám.
Bourací učebna
roomKN:E-328

18:00–19:30
(lecture parallel1
parallel nr.104)

Karlovo nám.
Bourací učebna
Tue
Wed
Thu
Fri
Time-table for summer semester 2023/2024:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-04-17
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet4702006.html