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Comprehensive MapReduce

Track :

Programming

Lessons no : 9

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What will you learn in this course?
  • Master designing and implementing MapReduce algorithms for large-scale data processing and analysis using Hadoop framework
  • Optimize MapReduce jobs for performance, efficiency, and scalability in big data environments
  • Apply best practices for data partitioning, shuffling, and sorting in MapReduce workflows
  • Debug and troubleshoot MapReduce programs to ensure accurate and reliable big data processing
  • Integrate MapReduce with other Hadoop ecosystem tools like HDFS, Hive, and Pig for comprehensive data solutions
  • Evaluate and improve MapReduce job performance using profiling, monitoring, and tuning techniques

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Lessons | 9


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MapReduce is a programming model or pattern within the Hadoop framework that is used to access big data stored in the Hadoop File System (HDFS). It is a core component, integral to the functioning of the Hadoop framework.