Metodika budování a údržby závislých datových tržišť

The thesis is primary focused on the integrated data warehouse, particularly on a subset -- dependent data marts. The main objectives of this thesis are design the methodology of development and maintenance of dependent data marts and verification methodology usefulness in the real organization. The first part deals with the theoretical definition of terms. It focuses particularly on the definition of terms from Business Intelligence area especially data warehousing and data marts. Each of the terms is described in detail in separate chapters. Business Intelligence area puts emphasis on description of individual components. In data warehousing area are described the data warehouse concepts and content of layers in a data warehouse. Finally, the data mart area is designed to describe dependent and independent data marts and also "special "cases of data marts, likely the semantic layer, and a sandbox. The second part focuses on the design methodology itself. At the beginning of this part is analysis of the existing methodologies and assess their usefulness with connection to designed methodology. The following part describes the current situation in the approach to the development and maintenance of dependent data marts in the organization. At the end of the second part is designed own methodology, which is based in part on the analysis methodology and in part on the analysis of current situation. The third part focuses on usability and usefulness evaluation of methodology in the organization. Evaluation is based on the methodology of criticism from employees in the organization who are directly engaged in designing and maintaining dependent data marts. Finally, the fourth and final part will focus on the description of an alternative solution that could be considered as one of the ways to sustainable development of data warehouse in the organization. It's about comparison architecture based on utilization of semantic layer as oppose to the "three layers" concept of data warehouse by Bill Inmon, which is implemented in the organization. The output evaluates alternative solutions to the current solution.