Analisis dan Penerapan Metode Tuning pada Basis Data Funding

Authors

  • Indrajani Indrajani Bina Nusantara University

DOI:

https://doi.org/10.21512/comtech.v6i1.2299

Keywords:

Database, Tuning, Funding, Analytical Report

Abstract

The purpose of this research is to analyze, design, and implement tuning for the funding database, which include data mart processing that will be used in the formation of analytical reports. The research method used is literature study from a variety of journals, books, e-books, and articles on the internet. Fact finding
techniques are also done by analyzing, collecting, and examining the documents, interviews, and observations. Other the research methods are also used to analyze and design database such as SQL tuning, Partitioning, and Indexing. The results obtained from this research is an implementation tuning for the funding database, in which if it is implemented, it will improve performance significantly. The conclusion is by implementing tuning for the funding database, it can help the bank to improve the performance of database system and decrease time to produce analytical reports.

Dimensions

Plum Analytics

References

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Hitesh, K. S., Aditya, S., Ranjit, B. (2012). A Framework for Automated Database TuningUsing Dynamic SGA Parameters and Basic Operating System Utilities. Database Systems Journal, III(4): 25.

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Millsap & Garry. (2008). Optimizing Oracle Performance: A Practitioner’s Guide to Optimizing Response Time. Cambridge: O’Reilly.

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Published

2015-03-01

Issue

Section

Articles
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