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Hadoop

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About this Course


Are you looking for hands-on experience analyzing big data? After completing this course, you will be able to install, configure and implement an Apache Hadoop stack ranging from basic "Big Data" components to MapReduce and Spark execution frameworks. Moreover, the hands-on exercises in this course require more computing power than a personal computer. So you will use distributed/parallel processing systems to better manipulate and understand the significance of your own data.

Details

Hadoop is course 2 of 6 in the Big Data Specialization.

In this Specialization, you will develop a robust set of skills that will allow you to process, analyze, and extract meaningful information from large amounts of complex data. You will install and configure Hadoop with MapReduce, use Spark, Pig and Hive, perform predictive modelling with open source tools, and leverage graph analytics to model problems and perform scalable analytical tasks. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned by building your own tools and models to analyze big data in the context of retail, sports, current events, or another area of your choice.

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Cost

level: All
Language: English
Institute: Coursera

FREE