About this course
MapReduce and its variants have been highly successful in implementing large-scale data-intensive applications on commodity clusters. However, most of these systems are built around an acyclic data flow model that is not suitable for other popular applications. This includes many iterative machine learning algorithms, as well as interactive data analysis tools.
The course will give you an overview of the MapReduce programming model using simple word counting examples
Hadoop and YARN architecture
Hadoop: Map Reduce
- Introduction to map-reduce
- Map-reduce approach with demonstration
- HDFS in Hadoop 1.x vs in Hadoop 2.x YARN
- HDFS advanced concepts
- HDFS configuration files
Get Hadoop: Map Reduce course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.
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