{"id":5598,"date":"2018-01-27T07:10:37","date_gmt":"2018-01-27T01:40:37","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=5598"},"modified":"2021-08-25T22:32:52","modified_gmt":"2021-08-25T17:02:52","slug":"r-hadoop-integration","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/r-hadoop-integration\/","title":{"rendered":"R and Hadoop Integration – Enhance your skills with different methods!"},"content":{"rendered":"
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We will study about the R integration with Hadoop in this tutorial. We will provide you with different methods of R and Hadoop integration for Big Data analysis.<\/p>\n

Without wasting any time, let’s start the tutorial.<\/p>\n<\/div>\n<\/div>\n

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Integration of R Programming with Hadoop<\/h2>\n<\/div>\n
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What is R Programming?<\/h3>\n<\/div>\n
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R is an open-source programming language. It is best suitable for statistical and graphical analysis. Also, if we are in need of strong data analytics and visualization features, then we need to combine R with Hadoop.<\/p>\n<\/div>\n

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What is Hadoop?<\/h3>\n<\/div>\n
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Hadoop is an open-source tool that\u00a0is founded by<\/span> the ASF \u2013 Apache Software Foundation<\/strong>. It\u2019s also an open-source project which means it is freely<\/span> available and one can change its source code as per the requirements. Although, if certain functionality does not fulfill your needs, you can also alter it as per your needs. Moreover, it provides an efficient framework for running jobs.<\/p>\n

Gain expertise in Hadoop technology with this awesome collection of 520+ Hadoop Tutorials<\/a><\/strong><\/em><\/p>\n<\/div>\n<\/div>\n

The purpose behind R and Hadoop Integration<\/h3>\n

R is one of the most preferred programming languages for statistical computing and data analysis. But without additional packages, it lacks a bit in terms of memory management and handling large data.<\/p>\n

On the other hand, Hadoop is a powerful tool to process and analyze large amounts of data with its distributed file system HDFS and the map-reduce processing approach. At the same time, complex statistical calculations are as simple with Hadoop as they are with R.<\/p>\n

By integrating these two technologies, R\u2019s statistical computing power can be combined with efficient distributed computing. This means that we can:<\/p>\n

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