Data Streaming Architecture

The proliferation of big data and the emergence of real-time applications have created a need for scalable and efficient data processing systems that can handle large volumes of data in real-time. The development of the Internet of Things is taking this to another level altogether; now data can come to us in real time, and our goal, in turn, will be to transfer it without loss, in the right order, and at the highest possible speed. In this thesis, author proposes a general Data Streaming Architecture. The theoretical part focuses on outlining the fundamental ideas required to comprehend the topics addressed in the thesis. The primary part of this bachelor's thesis delves into the research surrounding Data Streaming Architecture through a Systematic Literature Review. The author begins by choosing relevant papers and subsequently analyzes them to emphasize the components of the proposed architecture present in each examined paper. Using scientific methods, such as generalization and synthesis, the author identifies common components in the architectures reviewed. Finally, based on the identified components, the author puts forth a proposal of a general Data Streaming Architecture, with each component of the architecture being commented for a more in-depth overview.