MapReduce - Large-scale Data Processing
summary
Presentation introduces MapReduce for large-scale data processing, explaining how the Map and Reduce stages enable distributed processing of big datasets. It covers practical use at Google-level scale and likely discusses implementation and benefits for handling massive data volumes.
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chapters (9)
- 0:00MapReduce introduction
- 4:43MapReduce programming model
- 6:36MapReduce computation phases
- 11:18MapReduce use cases
- 15:13Sorting in MapReduce
- 17:30Iterative algorithms in MapReduce
- 19:57MapReduce limitations and challenges
- 23:29Flume Java for MapReduce
- 26:39Summary and next steps
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