Data Warehouse Management and MWF Optimization

This thesis focuses on the data warehouse of an extensive bank intitution from its operational management point of view (for the main part). To grasp the fast overview of the data warehouse the thesis includes the description of its data architecture, transformation processes and the way of presenting data to its users. Besides that the description of systems used for both the business data and for the metadata purposses is also included in this thesis. The thesis also covers operational activities including the identification of weak areas and their improvements. Another part of the thesis is represented by the project of optimization of a scheduling mechanism (Master Workflow) for running transformation processes, that helps to minimalize the metadata load of the Teradata database system. The main goal of this thesis is to describe the environment of the data warehouse in an understandable way. It's critical to understand the environment for both, the operational management personnel and for developers, that can supply the warehouse with higher quality solutions and ease the deployment of new deliveries into the production environment. This goal is achieved by the description of the data warehouse (mainly the description of its data architecture, transformation processes, operational activities and tools used to deploy changes into the production environment). Another goal is to give a feedback on the operational activities from the operational personnel point of view. This helps identify weak spots and can lead to its elimination. The last goal is to improve the scheduling mechanism that controls and runs all transformation processes. This goal is achieved by a project. The thesis describes the starting state, implemented changes, final state and the consideration whether the project was successful or not. The thesis brings several contributions: easier understanding of the data warehouse and the way of managing ETL processes -- for the operational management personnel and developers, which can bring the improvement of new solutions. The possibility of elimination of weak areas in the operational activities. And thanks to the project described there are two changes -- standardization and the metadata load of Teradata decreased. My own contribution to this issue is, besides the useful introduction to the data warehouse, the identification of the weak areas, suggested improvements and also the project of optimization Master Workflow which took about 17 MD. The thesis is devided into chapters based on the topics described: introductory information, theoretical base, characteristics of the main systems, the description of the data warehouse, the description of operational activities including the identification of weak areas, and at the end there is the project of optimization of Master Workflow. In the last chapter there is the final conclusion of the entire thesis.