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http://www.slideshare.net/mayureesrikulwong/database-and-database-management
Types of Databases
Five Research Challenges
Scalable data infrastructure
Coping with data management diversity
Adoption of Clouds
End-to-end data processing
Roles of people
Adoption of Clouds
Elasticity Data replication
System administration Multitenancy Data sharing Hybrid clouds
Scalable Infrastructure
Query processing and optimisation (Mining) New hardware (parallel and distributed)
Cost-efficiency storage High-speed data streams
NoSQL consistency Metrics and benchmarks
Data Management Diversity
Cross-platform integration
Programming models (multiple language bindings)
Data Processing workflows (raw and cooked data)
E2E Data Processing
Data to knowledge pipeline Tool diversity
Tool customisability Open source
Understanding data Knowledge bases
• Erturk, E. and Jyoti, K. 2015. Perspectives on a Big Data Application: What Database Engineers and IT Students Need to Know. Engineering, Technology & Applied Science Research, 5(5), pp.850-853.
• Tripathi, S.J. and Ramteke, P.L. 2015. Mobile Computing and Databases. International Journal of Advance Research in Computer Science and Management Studies, 3(4), pp.137-146.
DB Papers
• Abadi et al., 2016. The Beckman Report on Database Research. Communication of the ACM, 59(2), pp.92-99.
References
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