MapReduce real use cases and design patterns
Published in
1 min readDec 18, 2012
Datasalt was invited to give a talk at the University of Geneva last October about MapReduce, Tuple MapReduce and real MapReduce use cases.
The following slides contains an introduction about Big Data and MapReduce covering the main design patterns, describes real-life MapReduce use cases where this paradigm has proven to be useful, and finally they present the new Tuple MapReduce paradigm and its Hadoop implementation: Pangool
Real-life use cases presented:
- Data analytics
- Crawling
- Full-text indexing
- Reputation systems
- Data mining
