Data Engineering (SZF_174)
About Study Course
Objective
This course aims to provide business and project managers with an understanding of the fundamentals of data engineering and its importance in modern business. As part of the course, participants will gain knowledge about data flow and data processing processes, which will help them plan and manage projects that use data more successfully, as well as understand the requirements and challenges in creating and maintaining data infrastructure.
Prerequisites
In order to successfully participate in this data engineering course, participants should have a basic understanding of computer science and IT infrastructure, as well as basic knowledge of databases and data analysis. An understanding of business processes and how data is used to make decisions would also be helpful. Knowledge of project management to better oversee and coordinate data projects from a business perspective will be an advantage.
Learning outcomes
1.Describe the role and responsibilities of the data engineer and analyse aspects of cooperation with IT specialists and business units.
1.Skills to work with data flows, data processing and integration tools (Apache Spark, Hadoop, Apache Kafka, Airflow, etc.) and databases (MySQL, PostgreSQL, MongoDB).
1.Ability to identify problems in data integration, storage and processing, as well as ability to offer effective solutions using appropriate technologies.
