Modern companies estimate that only 12% of their accumulated data is analyzed, and IT professionals who are able to work with the remaining data are becoming increasingly valuable to companies. Big data talent requests are also up 40% in the past year.

Simply put, there is too much data and not enough professionals to manage and analyze it. This course aims to close the gap by covering MapReduce and its most popular implementation: Apache Hadoop. We will also cover Hadoop ecosystems and the practical concepts involved in handling very large data sets.

 What am I going to get from this course?
    Over 74 lectures and 15.5 hours of content!
    Become literate in Big Data terminology and Hadoop.
    Understand the Distributed File Systems architecture and any implementation such as Hadoop Distributed File System or Google File System
    Use the HDFS shell
    Use the Cloudera, Hortonworks and Apache Bigtop virtual machines for Hadoop code development and testing
    Configure, execute and monitor a Hadoop Job

Home Page - https://www.udemy.com/learn-hadoop-mapreduce-and-bigdata-from-scratch/

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