Analýza přínosu změny datové architektury na platformě Microsoft Azure ve firmě

The topic of the thesis is the design of a new data architecture for a logistics company DoDo Group SE. Within the scope of this thesis, alternative data architectures are proposed and compared together with the current data architecture using a multiple-criteria decision analysis. Based on this comparison, the most suitable alternative data architecture for the requirements of the company is determined. Then the benefit of its implementation compared to the current data architecture is determined. The first part of the thesis analyzes the current data architecture in this company. The differences between data warehouse, data lake, and data lakehouse type repositories are then described as these repositories are considered as the basis for the designed alternative data architectures. The alternative data architectures are then designed and described. These data architectures are then compared using a multiple-criteria decision analysis. Based on this analysis, the data architectures are compared and their suitability and benefit to the firm is determined. The primary contribution of the thesis is the identification of alternative data architecture and the evaluation of its contribution over the existing data architecture at DoDo Group SE.