SubjectsSubjects(version: 901)
Course, academic year 2021/2022
  
Data Management - NDBI046
Title: Datový management
Guaranteed by: Department of Software Engineering (32-KSI)
Faculty: Faculty of Mathematics and Physics
Actual: from 2020 to 2021
Semester: summer
E-Credits: 5
Hours per week, examination: summer s.:2/2 C+Ex [hours/week]
Capacity: unlimited
Min. number of students: unlimited
Virtual mobility / capacity: no
State of the course: taught
Language: Czech, English
Teaching methods: full-time
Guarantor: Mgr. Petr Škoda, Ph.D.
Incompatibility : NDBX046
Interchangeability : NDBX046
Is incompatible with: NDBX046
Is interchangeable with: NDBX046
Annotation -
Last update: RNDr. Michal Kopecký, Ph.D. (09.09.2020)
The goal of the Data Management course is to give an overview of commonly used operations and techniques in a typical data processing process. This includes data retrieval, cleaning, transformation, validation, catalogization, versioning, documentation, publication via API, integration, search, compression, encryption, and working with large and distributed data.
Course completion requirements -
Last update: Mgr. Petr Škoda, Ph.D. (04.08.2020)

During the semester there will be homework assignments for credit.

It is not required to attend tutorials.

The final exam is a written test.

Requirements to the exam -
Last update: Mgr. Petr Škoda, Ph.D. (04.08.2020)

Getting homework credit is a prerequisite for the final exam.

Syllabus -
Last update: Mgr. Petr Škoda, Ph.D. (04.08.2020)

Data types and models

Data preprocessing

Data catalogization, metadata, data versioning

Data integration

Data vocabulary, ontology

Data APIs

Text search

Information theory

Data encoding and compression

Encryption and ensuring integrity

Management of distributed and large data

Entry requirements -
Last update: Mgr. Petr Škoda, Ph.D. (27.04.2021)

The course expects working knowledge from NPRG036 (Data Formats) course.

 
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