The use of Web Services as part of the broader structure and framework of SOA architectures is also predicated on the use of databases that can scale over time, to align with the rapidly changing needs of an enterprise that relies on complex data analysis quickly done to get feedback on strategies and initiatives over time.
DBMS systems have progressed beyond just being repositories of data and have become knowledge systems that rely on enterprise data management and Master Data Management (MDM) approaches for aligning content, intelligence and knowledge to specific strategic needs (Reagan, Rowlands, 2007).
All of these requirements force the role of the DBA from single contributor to more of a focus on project management.
As a result, the critical skill set of being able to continually manage and coordinate people, processes and resources to align with critical path timelines is one of the most important roles that any DBA can continually improve over time.
In order for this transition to occur, databases had to make the transition away from being purely hierarchical in design and adopt a more relational data structure that treated each data element as a logical, not necessarily, physical element of the database (Greene, 2008).
In order for databases to become more aligned with the business needs of companies, the shift from hierarchical to relational and objective-based structures began decades ago and continues today.The breach at social networking site Twitter is particularly troublesome given the rapid growth of that social platform and the information stored on its servers.Additional areas include database backup and database recovery.Intelligent information systems and intelligent database systems are a very dynamically developing field in computer sciences.IJIIDS focuses on research in applications of advanced intelligent technologies for data storing/processing in a wide-ranging context, involving solutions to real-life problems in which it is necessary to apply intelligent technologies to achieve effective results.Each of these topic areas forms the foundation of a DBAs' many tasks in supporting an organization.The intent of this paper is to provide insights into each of these areas from a DBA standpoint, in terms of managing these areas as strategic concerns relative to the value of data in an organization.This allows for databases to be structured so they can also support logical table structures, records definitions and the defining of logical connections across multiple databases regardless of their location.Corresponding to the growth of relational databases is the increasing sophistication of data modeling (Geiger, 2009) and the continued growth of constraint-based modeling through constraint-based analysis and modeling including the development of optimization routines to ensure high performance queries and related applications (Benedikt, Dong, Libkin, Wong, 1998).DBMS is now more synonymous with strategic planning than ever before, and has become engrained in many of the planning, execution and monitoring processes of companies including strategic market planning (Weinberger, 2004).DBA Roles and Responsibilities For DBAs their roles and responsibilities are have significantly changed from being the support staffs that keep databases software and systems running to being more required to complete projects as part of broader teams or completely on their own.