Learn about the principles of parallel thinking to master Hadoop and MapReduce functionality.
Learn By Example: Hadoop, MapReduce for Big Data Problems certification course is designed by Loony Corn, a global e-learning platform with ex-Google, Stanford, and Flipkart team members, and is made available by Udemy for individuals looking to create sophisticated distributed computing applications to process large amounts of data using the capabilities of Hadoop and MapReduce. Learn By Example: Hadoop, MapReduce for Big Data problems online course aims to provide participants a hands-on introduction to Hadoop from the very beginning.
Learn By Example: Hadoop, MapReduce for Big Data problems online classes include more than 13.5 hours of video-based lessons accompanied by 112 downloadable study materials and articles that cover topics like parallel thinking, performance tuning, natural language processing, cluster management, serial computing, distributed computing, collaborative filtering, k-means clustering, as well as teach about the techniques to use VMs and the Cloud to build their clusters.
Yes
Udemy
After completing the Learn By Example: Hadoop, MapReduce for Big Data problems online certification, participants will be introduced to the methodologies and techniques of MapReduce and Hadoop for big data operations. Participants will explore techniques involved with the interaction of YARN, Mapreduce, and HDFS as well as acquire the knowledge of the principle associated with parallel thinking. Participants will learn about concepts involved with performance tuning, collaborative filtering, natural language processing, k-means clustering, serial computing, distributed computing, and cluster management. Additionally, participants will learn how to use SQL group and SQL select, as well as inverted indices.
Mr Janani Ravi Instructor Udemy
Mr Vitthal Srinivasan Instructor Udemy
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