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Accounting Information Systems - Postgresql Term Paper

Application Development and Interface Customization for Accounting & Finance

The core aspects of this area of analysis are supported for embedded SQL, support for standard and embedded interfaces, support for XML and Web integration technologies. Many enterprises program their own native SQL applications for analyzing and reporting their financial results. The use of embedded SQL in financial accounting and analysis has become commonplace as mobile-based platforms have become more commonplace throughout the senior management teams of corporations (McCombs, Sharifi, 73). Support for standard and embedded interfaces has also grown exponentially with the rising interest in using Apple iPads as devices for quickly checking accounting and financial reports as well. Finally support for Web and XMLK-based technologies is also driven by enterprise's needs to create highly customized accounting and financial analysis applications. All of these aspects of an accounting and financial system put increased demands on the database architectures used to support them. Comparing PostgresSQL and Oracle 11i on each of these attributes shows that the latter is superior on each attribute with the exception of creating mobile device interfaces in real-time, and support for Web-based interfaces across multiple could-based platforms (Kong, Li, Feng, et.al.). Open source platforms have a slight edge on this attribute given the open innovation nature of the platform and the continued investment in these technologies by Linux distribution partners.

Reliability and Pricing as an Accounting and Finance Platform

While both PostgresSQL and Oracle 11i support ACID compliance (Duggan, et. al.), Oracle 11i has more support for fault tolerance and recovery from logic errors in handling financial reporting and analysis. Oracle has shown to be more effective in managing variations in transaction workloads as well (?avka, Miki?, Sari?, et.al.). Reliability of each database has also been tested through a variety of benchmarks including use in cloud configurations and Oracle has proven to be more reliable due to the fault recovery support in the structure of their databases (Kong, Li, Feng, et.al.). For the CFO this is critically important because it can...

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Jeanette Burriesci. "Recipe for revenue" Intelligent Enterprise 31 Aug. 2001:

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Duggan, J., et al. "Performance Prediction for Concurrent Database Workloads." Proceedings of the ACM SIGMOD International Conference on Management of Data.

Chantola Kit, Toshiyuki Amagasa, Hiroyuki Kitagawa, (2009) "Algorithms for structure-based grouping in XML-OLAP," International Journal of Web Information Systems, Vol. 5 Issue: 2, pp.122 -- 150

Kong, S., Y. Li and L. Feng. "Flexible Control of Performance and Expenses for Database Applications in a Cloud Environment." CLOSER 2011 - Proceedings of the 1st International Conference on Cloud Computing and Services Science.

Gary B. McCombs, and Mohsen Sharifi. "Design and implementation of an ERP oracle financials course. " The Journal of Computer Information Systems 43.2 (2002): 71-75.

Wai Yin Mok. "Designing nesting structures of user-defined types in object-relational databases. " Information and Software Technology 49.9/10 (2007): 1017.

Salomie, T. -L, et al. "Database Engines on Multicores, Why Parallelize when You can Distribute?" EuroSys'11 - Proceedings of the EuroSys 2011 Conference.

X Zhou, PE Chaudhry, Z Zhu, and F. Li. "Development of a financial management system in a CIMS environment. " International Journal of Production Research 43.12 (2005): 2603

Sources used in this document:
References

Elisa Bertino, and Ravi Sandhu. "Database Security-Concepts, Approaches, and Challenges. " IEEE Transactions on Dependable and Secure Computing 2.1 (2005): 2

Jeanette Burriesci. "Recipe for revenue" Intelligent Enterprise 31 Aug. 2001:

avka, M., M. Miki? And D. Sari?. "Application Cluster Environment for Business Processes." MIPRO 2011-34th International Convention on Information and Communication Technology, Electronics and Microelectronics - Proceedings. SCOPUS. 8 Nov. 201

Duggan, J., et al. "Performance Prediction for Concurrent Database Workloads." Proceedings of the ACM SIGMOD International Conference on Management of Data.
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