Learn the fundamental concepts and methodologies associated with Hadoop Mapreduce from the bottom up.
A continuous, distributed algorithm called MapReduce is a programming technique for handling big data sets on a network. Big data can be managed with Map Reduce in conjunction with HDFS. Hadoop MAPREDUCE in Depth | A Real-Time course on Mapreduce online certification is developed by J Garg - Data Engineering, Analytics & Cloud Trainer and is offered by Udemy who want to acquire the knowledge of basic and advanced concepts of Hadoop and MapReduce from scratch.
Hadoop MAPREDUCE in Depth | A Real-Time course on Mapreduce online training contains 6 hours of pre recorded sessions along with 23 downloaded resources, assignments, and case studies covering concepts like MapReduce classes, input splits, joins, chaining, and distributed cache. By the completion of the Hadoop MAPREDUCE in Depth | A Real-Time course on Mapreduce online classes, learners will have mastered the knowledge necessary to alter the Java classes' standard implementation in Mapreduce and code it to suit their needs.
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Udemy
After completing the Hadoop MAPREDUCE in Depth | A Real-Time course on Mapreduce certification, learners will gain an in-depth understanding of the functionalities of Hadoop and MapReduce for big data operations. Learners will explore the strategies to work with MapReduce codes, Java classes, reducer class structure, mapper class structure, driver class structure, and partitioner class structure. Learners will study concepts like program flow, input splits, chaining, and joins as well as will acquire the skills to work with distributed cache and word count programs.
J Garg Data Engineering Udemy
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