Student Work
Entity Resolution in Big Data
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open in viewerToday, with the rapid development of technology, human entered a new era of Information Technology. Data is being transfer from paper to digital second by second. Therefore, the demand of data storage is increasing quickly. Human need a new technique to handle Big Data, that’s why Hadoop was born. However, the conflicts and duplicates of data is still happen in many cases. In this report, we will illustrate a new technique for entity resolution in big data which uses Hadoop's Map-Reduce framework.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-121615-213947
- Advisor
- Year
- 2015
- Date created
- 2015-12-16
- Ubicación
- Boylston
- Resource type
- Major
- Rights statement
Las relaciones
- En Collection:
Elementos
Elementos
Miniatura | Título | Visibilidad | Embargo Release Date | Acciones |
---|---|---|---|---|
MQP_report.pdf | Público | Descargar |
Permanent link to this page: https://digital.wpi.edu/show/7w62f978x