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Databases and their relational file structures have also progressed to the point of being open in architectural structure enough to allow for real-time updates via XML calls and integration points throughout individual and shared files (Roth, Hernandez, Coulthard, Yan, et al., 2006). This open architecture-based approach to XML integration is also making databases ideally suited for transaction-intensive environments throughout e-commerce websites and throughout complex transactions involving multiple selling partners through a supply chain as well (Smyrlis, 2005). As a result, databases are the foundation of distributed order management, enterprise content management, enterprise resource planning (ERP) and Customer Relationship Management (CRM) systems.
Databases and Security
Databases in organizations and governments often hold the most confidential data that exists and therefore need to be protected extremely well. The dominant standard for database security is ACID (atomicity, consistency, isolation, durability) compliance (Dolgicer, 1993). When an ACID test of compliance is completed on a database these four functions are measured and evaluated to see how secure it is. The greater the level of atomicity, consistency, isolation and durability of a database, the easier it is to audit every transaction it has supported over time. ACID compliance testing is critical to retain an organizations' security of database information (Dolgicer, 1993).
Conclusion
Databases form the...
The level of XML integration attained (Roth, Hernandez, Coulthard, Yan, et al., 2006) and support for advanced programming languages including ASP.NET sand AJAX (Greene, 2008) have led to databases being the core knowledge asset in many organizations today, especially those with Web-based initiatives and programs that integrate often in real-time to databases.
References
Dolgicer, Max (1993, June). The ACID test for distributed transactions. Data Communications, 22(9), 25.
Araby Greene (2008). Managing subject guides with SQL Server and ASP.Net. Library Hi Tech, 26(2), 213-231.
Margo Hanna (2004). Data-mining algorithms in Oracle9i and Microsoft SQL Server. Campus - Wide Information Systems, 21(3), 132-138.
Ken Krizner. (2002, May). Turning inventory into profits. Frontline Solutions, 3(5), 16-20.
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