Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013 |
| Pages | 56-64 |
| Number of pages | 9 |
| DOIs | |
| Publication status | Published - 5 Sept 2013 |
| Event | 2013 International Conference on Collaboration Technologies and Systems, CTS 2013 - San Diego, CA, United States Duration: 20 May 2013 → 24 May 2013 |
Conference
| Conference | 2013 International Conference on Collaboration Technologies and Systems, CTS 2013 |
|---|---|
| Country/Territory | United States |
| City | San Diego, CA |
| Period | 20/05/13 → 24/05/13 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Control and Systems Engineering