Using Hadoop and MapReduce's features, Gain a practical understanding of the big data concept.
With the assistance of straightforward programming, Apache Hadoop is a software program that enables the distributed processing of massive data sets throughout multiple computers. MapReduce is a programming methodology that implements distributed algorithms on a network to process and produce large amounts of data. Frank Kane, the founder of Sundog Education, Sundog Education & Machine Learning Pro, and the Sundog Education Team created the Taming Big Data with MapReduce and Hadoop - Hands On online certification, which is provided through Udemy.
Taming Big Data with MapReduce and Hadoop - Hands On online course is designed to help individuals acquire the knowledge of the principles of Hadoop and MapReduce for big data operations, as well as techniques for structuring data analysis challenges such as MapReduce challenges to execute on the cloud computing technology. Taming Big Data with MapReduce and Hadoop - Hands On online classes offer 5 hours of in-depth lectures, 4 articles, and 12 downloadable materials that cover topics including big data analytics and explain the workings of several big data technologies like Hive, Pig, and Spark.
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Udemy
After completing the Taming Big Data with MapReduce and Hadoop - Hands On certification course, individuals will develop a better understanding of the principle of big data along with the strategies involved with big data analytics. Individuals will explore the concepts and features related to Hadoop and MapReduce as well as discover how to create MapReduce tasks using Python and MRJob. Individuals will be introduced to Hadoop technologies like Pig, Hive, and Spark as well as techniques for HDFS, YARN, and Hadoop clusters. Additionally, individuals will gain knowledge of Amazon Elastic MapReduce and the ability to analyze data from social networks and movie ratings.
Mr Frank Kane Founder Freelancer
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