Database auditing has become a very crucial aspect of security as organisations increase their adoption of database management systems (DBMS) as major asset that keeps, maintain and monitor sensitive information. Database auditing is the group of activities involved in observing a set of stored data in order to be aware of the actions of users. The work presented here outlines the main auditing techniques and methods. Some architectural based auditing systems were also considered to assess the contribution of auditing to database security. Here a framework of several stages to be used in the instigation of auditing is proposed. Some issues relating to handling of audit trails are also discussed in this paper. This paper also itemizes some of the key important impacts of the concept to security and how compliance with government policies and regulations is enforced through auditing. Once the framework is adopted, it will provide support to database auditors and DBAs.

Multi-tenant databases (MTD) are aspect of computing that has become one of the revolutionary technologies of recent years. This technology has helped to discard the large-scale investments in hardware and software resources, in upgrading them regularly and also in expensive licences of application software used on inhouse hosted database systems. A MTD is a way of deploying a Database as a Service (DaaS) for the convenience and benefits of tenants. This concept is good for higher scalability and flexibility but it involves a lot of technicalities. The adoption of a MTD is based on some salient factors which can be grouped into four categories for easy understanding. A survey is presented in this research that involves a focus group of thirty respondents. The result shows the degree of impact each factor has on the decision to adopt a MTD. This paper also considers these factors and develops a framework that will help prospective tenants to take an informed decision about the adoption of the concept.

Multi-tenant Databases (MTD) are implemented in the deployment of database management services to Information Technology (IT) platform users. A database service provider hosts the Multi-tenant Database Management System (MTDMS) and each tenant subscribes to the service through a standard method such as a web service. Improved groupings of the factors that influence the adoption of MTDs are presented in this paper. A survey is presented here that involves forty one experts from the field of databases. A predictive analytical method called Relative Importance Index (RII) and other statistical tools have been adopted in the analysis. The result has led to the new framework in the adoption of MTDs. The research also considers the direction of decisions about MTDs in situations where two or more factors are combined. A new improved MTD framework is presented that improves the decision making process of MTD adoption.