讀《A Comparision of Join Algorithms for Log Processing in MapReduce》
這周組會我講了《A Comparision of Join Algorithms for Log Processing in MapReduce》這篇文章，是2010年發在ACM SIGMOD國際數據管理會議上的，就是設計了一些數據的連接算法，然後爲每種算法作了不同的預處理，測試性能，最後還測試了一下MapReduce的scalability。最後組裏的大牛說其實這些算法是早就有的，就是用MapR
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相關文章
- 1. A Comprehensive Analysis of Sequence Alignment Algorithms for LongRead Sequencing
- 2. A Tour of Machine Learning Algorithms
- 3. Note1 for Complexity of algorithms of optimization problems
- 4. Pregel: A System for Large-Scale Graph Processing
- 5. Spark - A Fault-Tolerant Abstraction for In-Memory Cluster Computing
- 6. 【數據挖掘】A Comprehensive Survey of Clustering Algorithms
- 7. An overview of gradient descent optimization algorithms
- 8. Physically Based Rendering Algorithms: A Comprehensive Study In Unity3D
- 9. Review of Classic Clustering Algorithms
- 10. 讀《Python Algorithms: Mastering Basic Algorithms in the Python Language》