“大数据系统”版本间的差异
来自iCenter Wiki
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| + | === MapReduce=== | ||
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=== Hadoop === | === Hadoop === | ||
| + | * 大数据存储 | ||
* [http://hadoop.apache.org Hadoop] | * [http://hadoop.apache.org Hadoop] | ||
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# Zaharia, Matei, et al. "Spark: cluster computing with working sets.“ Proceedings of the 2nd USENIX conference on Hot topics in cloud computing. Vol. 10. 2010. | # Zaharia, Matei, et al. "Spark: cluster computing with working sets.“ Proceedings of the 2nd USENIX conference on Hot topics in cloud computing. Vol. 10. 2010. | ||
| + | |||
| + | === Druid === | ||
| + | 大数据解析 | ||
| + | |||
| + | * [http://druid.io Druid] | ||
2017年3月1日 (三) 09:15的版本
MapReduce
Hadoop
- 大数据存储
- Sanjay Ghemawat, Howard Gobioff, and Shun-Tak Leung. "The Google file system." ACM SIGOPS operating systems review. Vol. 37. No. 5. ACM, 2003.
- Jeffrey Dean and Sanjay Ghemawat. "MapReduce: simplified data processing on large clusters." Communications of the ACM 51.1 (2008): 107-113.
Spark
- Zaharia, Matei, et al. "Spark: cluster computing with working sets.“ Proceedings of the 2nd USENIX conference on Hot topics in cloud computing. Vol. 10. 2010.
Druid
大数据解析
