Hadoop learning made easy and fun. Learn HDFS, MapReduce and introduction to Pig and Hive with FREE cluster access.
In the main segment you will learn about what is enormous information with cases. We will talk about the elements to consider while considering whether an issue is huge information issue or not. We will discuss the difficulties with existing advances with regards to huge information calculation. We will breakdown the Big Data issue as far as capacity and calculation and see how Hadoop approaches the issue and give an answer for the issue.
In the HDFS, area you will learn about the requirement for another document framework like HDFS. We will contrast HDFS and conventional record frameworks and its advantages. We will likewise work with HDFS and talk about the design of HDFS.
In the MapReduce segment you will learn about the nuts and bolts of MapReduce and stages engaged with MapReduce. We will go over each stage in detail and comprehend what occurs in each stage. At that point we will compose a MapReduce program in Java to compute the greatest shutting cost for stock images from a stock dataset.
In the following two segments, we will acquaint you with Apache Pig and Hive. We will endeavor to figure the most extreme shutting cost for stock images from a stock dataset utilizing Pig and Hive.
Udemy Course :https://www.udemy.com/hadoopstarterkit/
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