Passionately curious about Data, Databases and Systems Complexity. Data is ubiquitous, the database universe is dichotomous (structured and unstructured), expanding and complex. Find my Database Research at SQLToolkit.co.uk

"The important thing is not to stop questioning. Curiosity has its own reason for existing" Einstein

Wednesday, 15 March 2017

Thesis References

I thought it might be useful to share some of my PhD reading list. This was the final list included in my thesis. I have read many more articles and books all of which were very interesting and informative. The literature I have read covers information system, systems thinking, management, best practice, complexity theory, chaos theory and database management (architectural, development, BI and administration). 

Abadi, D. et al., 2016. The Beckman Report on Database Research. Communications of the ACM, 59(2).
Abadi, D. et al., 2014. The Beckman Report on Database Research. ACM SIGMOD Record, 43(3), pp.61–70.
Abadi, D.J., 2012. Consistency Tradeoffs in Modern Distributed Database System Design. IEEE Computer Society, 2(February), pp.37–42.
Abiteboul, S. et al., 2005. The Lowell Database Research Self-Assessment. Communications of the ACM, 48(5), pp.111–118.
Ackoff, R.L., 1999. Ackoff’s Best: His Classic Writings on Management, New York: John Wiley & Sons.
Ackoff, R.L., 1981a. Creating the Corporate Future, New York: John Wiley & Sons.
Ackoff, R.L., 1981b. The Art and Science of Mess Management. Interfaces, 11(1), pp.20–26. Available at: http://www.jstor.org/stable/25060027.
Agrawal et al., 2009. The Claremont Report on Database Research. Communications of the ACM, 52(6), pp.56–65.
Agrawal, D. et al., 2009. Database Management as a Service: Challenges and Opportunities. 2009 IEEE 25th International Conference on Data Engineering, pp.1709–1716. Available at: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4812596 [Accessed November 18, 2010].
Aiken, P. et al., 2011. Data Management and Data Administration: Assessing 25 Years of Practice. Journal of Database Management, 22(3), pp.24–45.
Aiken, P., 2016. Experience : Succeeding at Data Management — BigCo Attempts to Leverage Data. ACM Journal of Data and Information Quality, 7(1–2), pp.1–35.
Aiken, P. et al., 2007. Measuring Data Management Practice Maturity : A Community’s Self-Assessment. IEEE Computer Society, 40(4), pp.42–50. Available at: http://www.irmac.ca/0708/Measuring Data Management Practice Maturity.pdf.
Ailamaki, A., Kantere, V. & Dash, D., 2010. Managing Scientific Data. Communications of the ACM, 53(6), p.68.
Alzain, M.A. & Pardede, E., 2011. Using Multi Shares for Ensuring Privacy in Database-as-a-Service. Architecture, pp.1–9.
Ambler, S.W., 2003. Agile Database techniques: Effective strategies for the agile software developer, Indianapolis: Wiley Publishing.
Ambler, S.W., 2007. Data Architecture and Beyond : Strategies for Improving Your Data Ecosphere Access to the Experts. October, 10(10).
American Productivity and Quality Centre, 1999. What is benchmarking. Available at: www.Apqc.org.
Anderson, R. et al., 2009. Database State,
Anon, 2010. Data, Data everywhere. The Economist, 394(8671), pp.3–5.
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Armbrust, M. et al., 2009. Above the clouds: A Berkeley view of cloud computing. University of California, Berkeley, Tech. Rep. UCB, pp.1–23. Available at: http://scholar.google.com/scholar?q=intitle:Above+the+clouds:+A+Berkeley+view+of+cloud+computing#0.
Armour, M., 2015. Talking about a (business continuity) revolution: Why best practices are wrong and possible solutions for getting them right. Journal of Business Continuity & Emergency Planning, 9(2), pp.103–111. Available at: http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=112058400&site=ehost-live.
Armour, P.G., 2015. The chaos machine. Communications of the ACM, 59(1), pp.36–38. Available at: http://dl.acm.org/citation.cfm?doid=2859829.2846086.
Artus, H.M., 2008. In Quest of Sustainable Information Databases , Database Analysis , and Database Research - Exploration of a Research Field. In Sociology The Journal Of The British Sociological Association. pp. 159–172. Available at: http://www.eurocris.org/Uploads/Web pages/cris2008/Papers/cris2008_Artus.pdf.
Aslett, M., 2015. The State of Database as a Service. 451 Group. Available at: http://resources.tesora.com/hubfs/Tesora-ebook-State-of-DBaaS-451Group.pdf.
Auerbach, C.E. & Silverstein, L.B., 2003. Qualitative data:An Introduction to coding and Analysis, New York: New York University Press.
Avgerou, C., 2011. Discources on innovation and development in information systems in developing countried research. In R. D. Galliers & W. L. Currie, eds. The Oxford Handbook of Management Information Systems. Oxford: Oxford University Press, p. 650.
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Barnes, J., 2015. Microsoft Azure Essentials: Azure Machine Learning, Redmond: Microsoft Press. Available at: https://mva.microsoft.com/ebooks#9780735698178.
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Bekhet, A.K. & Zauszniewski, A., 2012. Methodological triangulation: an approach to understanding data. Nurse Researcher, 20(2), pp.40–43.
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 Berman, F., 2008. Got Data? A Guide to Data Preservation in the Information Age: a guide to data preservation in the information age. Communications of the ACM, 51, pp.50–56. Available at: http://cacm.acm.org/magazines/2008/12/3360-got-data-a-guide-to-data-preservation-in-the-information-age/abstract.
Bernstein, P. et al., 1998. The Asilomar Report on Database Research. ACM SIGMOD Record, 27(4), pp.74–80.
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Codd, E.F., 1985. Is your DBMS really relational ? ComputerWorld, (14 October).
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Connolly, T.M. & Begg, C.E., 1995. Database Systems: A practical approach to Design, Implementation. And management, Harlow: Addison-Wesley.
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Creswell, J.W. & Plano Clark, V.L., 2011b. Designing and Conducting Mixed Methods Research, Thousand Oaks: Sage.
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Dani, S. et al., 2006. A methodology for best practice knowledge management. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 220(10), pp.1717–1728. Available at: http://pib.sagepub.com/lookup/doi/10.1243/09544054JEM651 [Accessed July 31, 2014].
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