Runtime Performance Challenges in Big Data Systems

Author:

Klein John,Gorton Ian

Publisher

ACM Press

Reference26 articles.

1. J. Weiner and N. Bronson. Facebook's Top Open Data Problems [Online]. https://research.facebook.com/blog/1522692927972019/facebook-s-top-open-data-problems/ (Accessed 10 Nov 2014).

2. M. Finnegan, "Boeing 787s to create half a terabyte of data per flight, says Virgin Atlantic," Computerworld UK, 6 March 2013, http://www.computerworlduk.com/news/infrastructure/3433595/boeing-787s-to-create-half-a-terabyte-of-data-per-flight-says-virgin-atlantic/ (Accessed 20 Feb 2014).

3. P. Groves, B. Kayyali, D. Knott, et al., "The 'big data' revolution in healthcare." McKinsey & Company, Report, 2013, http://www.mckinsey.com/insights/health_systems_and_services/the_big-data_revolution_in_us_health_care (Accessed 20 Feb 2014).

4. V. Turner, J. F. Gantz, D. Reinsel, et al., "The Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things." International Data Corporation, White Paper, IDC_1672, 2014, http://idcdocserv.com/1678 (Accessed 10 Nov 2014).

5. P. J. Sadalage and M. Fowler, NoSQL Distilled. Addison-Wesley Professional, 2012.

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