No description available.

Risk management is a key competency that is constantly being researched how it can be improved within project management. The risk management process consists of four major steps: identify risks, assess the risks’ significance on the project, evaluate and address the key risks and follow up.The majority of companies seem to neglect certain identified risks, and decide not to mitigate if the risk does not cause adverse effects to the business. To counteract undesirable consequences and help organisations to become more effective at managing risks an initial work has been conducted for a risk repository.The project develops a proposal on the design of a risk repository which aim to effectively support a database implementation. The study includes literature studies which resulted in a relational model for database implementation. Furthermore, personal meetings were conducted within the framework of risk management.The study has resulted in development of relational models, one entity relationship model and one data model, which are essential for the database implementation. The modelling technique was based on an approach founded by Chen (1976). This modelling approach is still actively used in education and by developers within entity-relationship modelling and database design.The developed design supports the implementation of the data model in a risk repository, which eventually supports decision-making in risk management for businesses. A suggestion for further research has also emphasized the risk repository. The suggestion aims to increase the efficiency of the database of a computing system which enables cost estimates of potential risks that may occur.

For any unemployed person in Sweden that is looking for a job, the most common place they can turn to is the Swedish Public Employment Service, also known as Arbetsförmedlingen, where they can register to get help with the job search process. Occasionally, in order to land an employment, the person might require extra guidance and education, Arbetsförmedlingen outsource this education to external companies called providers where each person gets assigned a coach that can assist them in achieving an employment quicker. Given the current labour market data, can the data be used to help optimize and speed up the job search process? To try and help optimize the process, the labour market data was inserted into a graph database, using the database, a recommendation system was built which uses different methods to perform each recommendation. The recommendations can be used by a provider to assist them in assigning coaches to newly registered participants as well as recommending activities. The performance of each recommendation method was evaluated using a statistic measure. While the user-created methods had acceptable performance, the overall best performing recommendation method was collaborative filtering. However, there are definitely some potential for the user-created method, and given some additional testing and tuning, the methods can surely outperform the collaborative filtering method. In addition, expanding the database by adding more data would positively affect the recommendations as well.

Elsevier is a leading publisher of medical content, and ClinicalKey is the company's latest endeavor to aggregate multiple resources in one easily searchable interface. ClinicalKey merges medical education with clinically relevant information. This review will provide an overview of the contents, search options, features and limitations of this database.

Elsevier is a leading publisher of medical content, and ClinicalKey is the company's latest endeavor to aggregate multiple resources in one easily searchable interface. ClinicalKey merges medical education with clinically relevant information. This review will provide an overview of the contents, search options, features and limitations of this database.

This Diploma thesis describes the process of analysis and design of an information system supporting training activities. The system is based on the web pages. It is creating an information system, that would allow monitoring the nutritional plan, strength training and sports activities of an athlete. The system allows each athlete to be assigned a dietitian and a coach, who take care of his/her nutritional plan and training. The athlete has immediate feedback atd of his success and has better conditions to meet his ambitions.

Elsevier is a leading publisher of medical content, and ClinicalKey is the company's latest endeavor to aggregate multiple resources in one easily searchable interface. ClinicalKey merges medical education with clinically relevant information. This review will provide an overview of the contents, search options, features and limitations of this database.

No description available.

There has been a change of paradigm in which way information is being produced, processed, and consumed as a result of social media. While planning to store the data, it is important to choose a suitable database for the type of data, as unsuitable storage and analysis can have a noticeable impact on the system’s energy consumption. Additionally, effectively analyzing data is essential because deficient data analysis on a large dataset can lead to repercussions due to unsound decisions and inadequate planning. In recent years, an increasing amount of organizations have provided services that cannot be anymore achieved efficiently using relational databases. An alternative data storage is graph databases, which is a powerful solution for storing and searching for relationship-dense data. The research question that the thesis aims to answer is, how do state-of-the-art-graph database and relational database technologies compare with each other from a performance perspective in terms of time taken to query, CPU usage, memory usage, power usage, and temperature of the server? To answer the research question, an experimental study using analysis of variance will be performed. One relational database, MySQL, and two graph databases, ArangoDB and Neo4j, will be compared using a benchmark. The benchmark used is Novabench. The results from the post-hoc, KruskalWallis, and analysis of variances show that there are significant differences between the database technologies. This means the null hypothesis, that there is no significant difference, is rejected, and the alternative hypothesis, that there is a significant difference in performance between the database technologies in the aspects of Time to Query, Central Processing Unit usage, Memory usage, Average Energy usage, and temperature holds. In conclusion, the research question was answered. The study shows that Neo4j was the fastest at executing queries, followed by MySQL, and in last place ArangoDB. The results also showed that MySQL was more demanding on memory usage than the other database technologies.

Existing database drivers use blocking socket I/O to exchange data with relational database management systems (RDBMS). To concurrently send multiple requests to a RDBMS with blocking database drivers, a separate thread must be used for each request. This approach has been used successfully for many years. However, we propose that using non-blocking socket I/O is faster and scales better under load. In this paper we introduce the Asynchronous Database Connectivity in Java (ADBCJ) framework. ADBCJ provides a common API for asynchronous RDBMS interaction. Various implementations of the ADBCJ API are used to show how utilizing non-blocking socket I/O is faster and scales better than using conventional database drivers and multiple threads for concurrency. Our experiments show a significant performance increase when using non- blocking socket I/O for asynchronous RDBMS access while using a minimal number of OS threads. Non-blocking socket I/O enables the ability to pipeline RDBMS requests which can improve performance significantly, especially over high latency networks. We also show the benefits of asynchronous database drivers on different web server architectures.