This diploma thesis deals with the problem of automatic alerting on Microsoft SQL Server 2008 platform. Thesis was elaborated with Clever Decision s.r.o. company which significantly contributed to thesis assignment. Main goal of this thesis is to provide a solution concept for absence of alerting for multidimensional data in Microsoft's product. Alerting is aimed at critical business data -- Key performance indicators - KPIs. KPIs are used to deliver enhanced business performance through Corporate Performance Management concept. These indicators need to be watched frequently. Considering that alerting solution is convenient for watching the data. Solution concept is based on market research of Business Intelligence (BI) platforms which dominates the market. Platforms are examined for their alerting capabilities. Next goal is to provide overall insight to KPI management -- creating, managing, analyzing and monitoring of KPIs. Thesis is divided into three sections. First part creates theoretical background for solution creation and describes the field of KPI management. Second part consists of market research using selected criteria. Third part is aimed at providing the solution concept through web application fixing the absence of alerting on Microsoft SQL Server 2008 platform. This thesis is primarily intended for Clever Decision company but also for various BI experts dealing with alerting problems on BI platforms. Thesis serves also as a theoretical summary of KPI management which is commonly evaded by available technical literature.

This master thesis describes issues of measurement workplaces with accent at automatic control of them over web interface. The interfaces, which allow us to control measurement devices, are one by one described. Additionally there are described technologies which were used for realization of web application, as ASP.NET, AJAX, AngularJS, and relation databases. Last but not least there is described solution of web application which allows to users to do automation measurements from anywhere by web browser.

This master's thesis presents methods for mining important pieces of information from text. It analyses the problem of terms extraction from large document collection and describes the implementation using C# language and Microsoft SQL Server. The system uses stemming and a number of statistical methods for term extraction. This project also compares used methods and suggests the process of the dictionary derivation.

This thesis is focused on collecting and analysing data from production of decorated plastic parts for Automotive. One of the aims is to describe actual situation of storing data and design new data model for this application.

This diploma thesis deals with the design and implementation of a desktop application designed to determine the dimensional changes of concrete mixtures during solidification. The work includes implementation of the server portal for real-time data evaluation. The introductory part deals with the analysis of the measurement task and the original solution, as well as the specification of the new application and its deployment in real operation. The next part of the thesis describes current software technologies used in the development of desktop and server applications. The design and implementation of both parts of the solution is a major part of the work. In the last part, the real-time functionality test of the application is presented.

The subject of this thesis is communication process between a mobile device and a server. The work is concerned with development of application in Windows Mobile in the light of technical limitation. The thesis also deals with the development of application for universal mobile database connector which then enables transparent working with information, obtained from database placed on server, on the mobile device.