Distributed Data Processing

2023/2024

Academic Year

ENG

Instruction in English

6

ECTS credits

Delivered at:

Department of Business Informatics

Course type:

Compulsory course

When:

1 year, 3, 4 module

Instructor

Gomenyuk, Kirill

Course Syllabus

Abstract

The main goal of this course is to provide students with an opportunity to acquire conceptual background and practical tools applicable to Big Data analytics and real time computation. The course will briefly review specific challenges of Big Data Analytics, such as problems of extracting, unifying, updating, and merging information and specific needs in processing data, which should be highly parallel and distributed. We will see how different mathematical approaches can be transformed to conform to the Big Data demands.