[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-2017-0050]Open 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-2017-0057]Open 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/10.1561/190000000210.1561/1900000002]Open 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/ijais12-450888]Open 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, 2011.10.1002/9781118135532]Search 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/jouproman5-13553]Open 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.2017.11.036]Open DOISearch in Google Scholar
[15. Shasha, D., P. Bonnet. Database Tuning: Principles, Experiments, and Troubleshooting Techniques. Burlington, Morgan Kaufmann Publishers, 2002.10.1145/564691.564799]Search 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. 1346-1355.10.14778/1454159.1454175]Search 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. 165-178.10.1145/1559845.1559865]Search 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.pdf]Search 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.pdf]Search 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%2F250160210.1145/2501602420712825346586]Search 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.2017.088686]Open 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-3-1-4]Search 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.2017.7973658]Search 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.pdf]Search 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.887089]Open DOISearch in Google Scholar