Title: Objectification and degree of association between indicators of game load and movement assumptions in elite rugby players Objectives: The aim was to objectify and measure the association between selected indicators of game load and selected movement assumptions in elite rugby players and measure the association between selected results of different fitness tests. Methods: The research group consisted of 31 players of the Czech rugby team of the senior category. Data were acquired using GPSports. The results from fitness testing provided by the Czech Rugby Union were used as indicators of movement assumptions. In total, three matches were measured. During the individual matches, the total distance covered was measured, the distance covered in individual speed zones (1st zone 0.0-1.8 km/h, 2nd zone 1.8-6.1 km/h, 3rd zone 6, 1-13.0 km/h, 4th zone 13.0-18.0 km/h, 5th zone 18.0-24.1 km/h, zone 6th >24.1 km/h), number of inputs to individual acceleration and deceleration zones (1st zone 1.2- 2.4 m/s/s, 2nd zone 2.4-3.6 m/s/s, 3rd zone 3.6-4.8 m/s/s). Results: The results of the work contain data that are unparalleled in Czech conditions. Tight forwards run 70.50 ± 7.09 m/min lose forwards 73.89 ± 4.25 m/min, inside backs 81.70 ± 11.71 m/min and outside backs 82.82 ± 12.71 m/min. In one match,...

This study compares the impact of dimensional modelling and data vault modelling on the performance and maintenance effort of data warehouses. Dimensional modelling is a data warehouse modelling technique pioneered by Ralph Kimball in the 1980s that is much more effective at querying large volumes of data in relational databases than third normal form data models. Data vault modelling is a relatively new modelling technique for data warehouses that, according to its creator Dan Linstedt, was created in order to address the weaknesses of dimensional modelling. To date, no scientific comparison between the two modelling techniques have been conducted. A scientific comparison was achieved in this study, through the implementation of several experiments. The experiments compared the data warehouse implementations based on dimensional modelling techniques with data warehouse implementations based on data vault modelling techniques in terms of load performance, query performance, storage requirements, and flexibility to business requirements changes. An analysis of the results of each of the experiments indicated that the data vault model outperformed the dimensional model in terms of load performance and flexibility. However, the dimensional model required less storage space than the data vault model. With regards to query performance, no statistically significant differences existed between the two modelling techniques. / MSc (Computer Science), North-West University, Potchefstroom Campus, 2014

This study compares the impact of dimensional modelling and data vault modelling on the performance and maintenance effort of data warehouses. Dimensional modelling is a data warehouse modelling technique pioneered by Ralph Kimball in the 1980s that is much more effective at querying large volumes of data in relational databases than third normal form data models. Data vault modelling is a relatively new modelling technique for data warehouses that, according to its creator Dan Linstedt, was created in order to address the weaknesses of dimensional modelling. To date, no scientific comparison between the two modelling techniques have been conducted. A scientific comparison was achieved in this study, through the implementation of several experiments. The experiments compared the data warehouse implementations based on dimensional modelling techniques with data warehouse implementations based on data vault modelling techniques in terms of load performance, query performance, storage requirements, and flexibility to business requirements changes. An analysis of the results of each of the experiments indicated that the data vault model outperformed the dimensional model in terms of load performance and flexibility. However, the dimensional model required less storage space than the data vault model. With regards to query performance, no statistically significant differences existed between the two modelling techniques. / MSc (Computer Science), North-West University, Potchefstroom Campus, 2014