Advanced Data Analytics Using Python_ With Machine Learning, Deep Learning and NLP Examples ( 2023)

Chapter 7
Analytics at Scale
Figure 7-2. Details of the summarization pattern
Filtering Pattern
In MapReduce filtering is done in a divide-and-conquer way (Figure 7-3).
Each mapper job filters a subset of data, and the reducer aggregates the
filtered subset and produces the final output. Generating the top N records,
searching data, and sampling data are the common use cases of the
filtering pattern.
Figure 7-3. Details of the filtering pattern
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