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Performance Analysis and Optimization Techniques for Oracle Relational Databases


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1. Blaheta, R., K. Georgiev, O. Jaki, R. Kohut, S. Margenov, J. Stary. High Performance Computing in Micromechanics with an Application. – Cybernetics and Information Technologies, Vol. 17, 2017, No 5, pp. 5-16. https://doi.org/10.1515/cait-2017-005010.1515/cait-2017-0050Open DOISearch in Google Scholar

2. Dimitrov, D., E. Atanassov. Accounting Services for Heterogeneous Computing Resources. – Cybernetics and Information Technologies, Vol. 17, 2017, No 5, pp. 81-88. https://doi.org/10.1515/cait-2017-005710.1515/cait-2017-0057Open DOISearch in Google Scholar

3. Hellerstein, J., M. Stonebraker, J. Hamilton. Architecture of a Database System. – Foundations and Trends in Databases, Vol. 1, 2007, No 2, pp. 141-259. https://doi.org/10.1561/190000000210.1561/1900000002Open DOISearch in Google Scholar

4. Feuerlicht, G. Database Trends and Directions: Current Challenges and Opportunities. – In: J. Pokorný, V. Snásel, K. Richta, Eds. Dataeso. 2010, pp. 163-174. CEUR-WS.org.Search in Google Scholar

5. Moniruzzaman, A., S. Hossain. NoSQL Database: New Eraof Databases for Big Data Analytics – Classification, Characteristics and Comparison. – International Journal of Database Theory and Application, Vol. 6, 2013, No 4, pp. 1-14.Search in Google Scholar

6. Nayak, A., A. Poriya, D. Poojary. Typeof NOSQL Databases and Its Comparison with Relational Databases. – International Journal of Applied Information Systems (IJAIS), Vol. 5, 2013, No 4, pp. 16-19. https://doi.org/10.5120/ijais12-45088810.5120/ijais12-450888Open DOISearch in Google Scholar

7. Damesha, H. Object Oriented Database Management Systems-Concepts, Advantages, Limitations and Comparative Study with Relational Database Management Systems. – Global Journal of Computing Science and Technology: Software & Data Engineering, Vol. 15, 2015, No 3, pp. 1-9.Search in Google Scholar

8. Liu, H. Oracle Database Performance and Scalability: A Quantitative Approach. Wiley-IEEE Computer Society, New Jersey, 2011.10.1002/9781118135532Search in Google Scholar

9. Feuerstein, S., B. Pribyl. Oracle PL/SQL Programming. Sebastopol, O’Reilly Media, 2014.Search in Google Scholar

10. Darwen, H. An Introduction to Relational Database Theory. London, Bookboon, 2010.Search in Google Scholar

11. Silberschatz, A., H. Korth. Database System Concepts. Columbus, McGraw-Hill Education, 2010.Search in Google Scholar

12. Greenwald, R., R. Stackowiak, J. Stern. Oracle Essentials – Oracle Database 11g. Sebastopol, O’Reilly Media, 2008.Search in Google Scholar

13. Medhi, S., H. Baruah. Relational Database and Graph Database: A Comparative Analysis. – Journal of Process Management and New Technologies, Vol. 5, 2017, No 2, pp. 1-9. https://doi.org/10.5937/jouproman5-1355310.5937/jouproman5-13553Open DOISearch in Google Scholar

14. Colley, D., C. Stanier. Identifying New Directions in Database. – Performance Tuning, Vol. 121, 2017, pp. 260-265. https://doi.org/10.1016/j.procs.2017.11.03610.1016/j.procs.2017.11.036Open DOISearch in Google Scholar

15. Shasha, D., P. Bonnet. Database Tuning: Principles, Experiments, and Troubleshooting Techniques. Burlington, Morgan Kaufmann Publishers, 2002.10.1145/564691.564799Search in Google Scholar

16. Ziauddin, M., D. Das, H. Su, Y. Zhu, K. Yagoub. Optimizer Plan Change Management: Improved Stability and Performance in Oracle 11g. – In: Proc. of PVLBD’08 Conference, Auckland, New Zealand, 2008, pp. 1346-1355.10.14778/1454159.1454175Search in Google Scholar

17. Pavlo, A., E. Paulson, A. Rasin. A Comparison of Approaches to Large-Scale Data Analysis. – In: Proc. of PVLBD’09 Conference, New York, USA, 2009, pp. 165-178.10.1145/1559845.1559865Search in Google Scholar

18. Corlatan, C. M. Lazar, V. Luca, O. Petricica. Query Optimization Techniques in Microsoft SQL Server. – Database Systems Journal, Vol. 5, 2014, No 2, pp. 33-48.Search in Google Scholar

19. Pons, A. Database Tuning and Its Rolein Information Technology Education. – Journal of Information Systems Education, Vol. 14, 2003, No 4, pp. 381-387.Search in Google Scholar

20. Connolly, T., C. Begg. Database Systems: A Practical Approach to Design, Implementation, and Management. New York, Pearson Education, 2014.Search in Google Scholar

21. Coronel, C., S. Morris. Database Systems: Design, Implementation, & Management. New Hampshire, Cengage Learning, 2018.Search in Google Scholar

22. Mullins, C. Database Administration: The Complete Guide to DBA Practices and Procedures. Boston, Addison-Wesley Professional, 2012.Search in Google Scholar

23. Pratt, P., M. Last. Concepts of Database Management. New Hampshire, Cengage Learning, 2014.Search in Google Scholar

24. Tiwari, V. Oracle Performance Tuning (for Oracle DBAs). – International Journal of Human Computer Interaction and Data Mining, Vol. 1, 2018, No 1-2, pp. 30-36.Search in Google Scholar

25. Hellström, I. Oracle SQL & PL/SQL Optimization for Developers Documentation. Oracle Media Networks. Retrieved 10 November 2017. https://media.readthedocs.org/pdf/oracle/latest/oracle.pdfSearch in Google Scholar

26. Oracle. Benefits of PL/SQL. Oracle Academy. Retrieved 22 November 2017. http://web.cerritos.edu/hohly/SitePages/Oracle/PL_SQL/PLSQL_course_materials%206_07/PLSQL_s01_l02.pdfSearch in Google Scholar

27. Bisset, K., J. Chen, S. Deodhar, X. Feng, Y. Ma, M. Marathe. Indemics: An Interactive High-Performance Computing Framework for Data Intensive Epidemic Modeling. – ACM Transaction on Modelling and Computer Simulation, Vol. 24, 2014, No 1, pp. 1-54. https://dx.doi.org/10.1145%2F250160210.1145/2501602420712825346586Search in Google Scholar

28. Kaula, R. Operational Intelligence through Performance Trends: An Oracle Prototype. – International Journal of Business Intelligence and Systems Engineering, Vol. 1, 2017, No 2, pp. 140-165. https://doi.org/10.1504/IJBISE.2017.08868610.1504/IJBISE.2017.088686Open DOISearch in Google Scholar

29. Almeida, F., J. Monteiro, J. Ferreira. Building an Effective Data Warehousing for Financial Sector. – Automatic Control and Information Sciences, Vol. 3, 2017, No 1, pp. 16-25. http://dx.doi.org/10.12691/acis-3-1-410.12691/acis-3-1-4Search in Google Scholar

30. Poljak, R., P. Poscic, D. Jaksic. Comparative Analysis of the Selected Relational Database Management Systems. – In: Proc. of International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO’17), Opatija, 2017, pp. 1496-1500. https://doi.org/10.23919/MIPRO.2017.797365810.23919/MIPRO.2017.7973658Search in Google Scholar

31. Almeida, F. Developing Effective PL/SQL. Palo Alto, ISSUU Publishing, 2016.Search in Google Scholar

32. Feuerstein, S. The Bestof Oracle PL/SQL: Must Know Features, Best Practices and New Features in Oracle Database 11g. Toad World. Retrieved 21 December 2017. https://stage.toadworld.com/cfs-file/__key/communityserver-wikis-components-files/00-00-00-00-03/Best-of-Oracle-PLSQL-11g.pdfSearch in Google Scholar

33. Feuerstein, S., B. Pribyl, C. Dawes. Oracle PL/SQL Language: Pocket Reference. Sebastopol, O’Reilly Media, 2008.Search in Google Scholar

34. Gupta, S. Advanced Oracle PL/SQL Developer’s Guide. Birmingham, Packt Publishing, 2016.Search in Google Scholar

35. Greenwald, R., R. Stackowiak, G. Dodge, D. Klein, B. Shapiro, C. Chelliah. Professional Oracle Programming. New Jersey, Wrox, 2005.Search in Google Scholar

36. Campbell, L., C. Majors. Database Reliability Engineering: Designing and Operating Resilient Database Systems. Newton, Massachusetts, O’Reilly Media, 2017.Search in Google Scholar

37. Martin, W., K. Bridgmon. Quantitative and Statistical Research Methods: From Hypothesis to Results. London, Jossey-Bass, 2012.Search in Google Scholar

38. Creswell, J. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. New York, SAGE Publications, 2013.Search in Google Scholar

39. Queirós, A., D. Faria, F. Almeida. Strengths and Limitations of Qualitative and Quantitative Research Methods. – European Journal of Education Studies, Vol. 3, 2017, No 9, pp. 369-387. https://doi.org/10.5281/zenodo.88708910.5281/zenodo.887089Open DOISearch in Google Scholar

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Computer Sciences, Information Technology