Performance Improvement for Big Data Iterative Computing－The Case Study of Spark Program
碩士 === 國立臺北大學 === 資訊管理研究所 === 104 === The Big Data Era brings a lot of big data analysis tools. Spark, which the features of in-memory processing fit iteration and interaction data mining, is the most popular analysis tools, and the performance of data processing is better than Hadoop. However, ther...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/993w36 |