Big Data architektura

In the current trend of big data, more solutions are beginning to emerge to design its architecture. However, there is no available solution to apply and describe the general architecture. Therefore, this bachelor's thesis has the primary goal of designing Big Data architecture using scientific methods. The thesis first defines the terms Big Data and Big Data architecture based on professional literature. The main part deals with the analysis of publications on Big Data architectures using the Systematic Literature Review. Relevant resources are analyzed in detail and the components used are identified. With the help of induction, generalization and synthesis, parts of the architectures are unified into a general design. The thesis provides an overview of the frequencies of identified components. The result of the bachelor thesis is the compilation of a general Big Data architecture based on resources and a description of the components used.