- A Disk Based Stream Oriented Approach For Storing Big Data
- First International Symposium on Big Data and Data Analytics in Collaboration (BDDAC 2013). Part of The 2013 International Conference on Collaboration Technologies and Systems (CTS 2013)
- Book/source title
- Proceedings of the 2013 International Conference on Collaboration Technologies and Systems: May 20-24, 2013, Sheraton San Diego Hotel & Marina, San Diego, California
- Pages (from-to)
- Piscataway, N.J.: IEEE
- Document type
- Conference contribution
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
This paper proposes an extension to the generally accepted definition of Big Data and from this extended definition proposes a specialized database design for storing high throughput data from low-latency sources. It discusses the challenges a financial company faces with regards to processing and storing data and how existing database technologies are unsuitable for this niche task. A prototype database called CakeDB is built using a stream oriented, disk based storage design and insert throughput tests are conducted to demonstrate how effectively such a design would handle high throughput data as per the use case.
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