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Taking up an R Programming Course? Learn Why Businesses Use R and Can't Seem to Look Further
Nobody truly understands the value of a technology until they know where and why it is used. So for those contemplating taking up an R Programming Course, the following information elucidates on the importance of this technology. The roots of this lay in the fact that it is not easy to process terabytes of data. Every business is confronted with humungous volumes of data. Such large unstructured data sets have the potential to provide deeper customer insights.
Gone are the days when Excel pivot tables were used to analyze data. Although there are many commercial analytical tools, none of them scale up to the power of an open-source language such as R. Developed by data scientists and computer programmers; this technology provides the latest and greatest data analysis capabilities.
Revolution Analytics - the backbone of this technology
Technologies come, and they fade away without backup. Linux was given a fillip by RedHat. Hadoop was patronized by Cloudera. Revolution Analytics was formed to contribute to R. From what started off then as a tool used by students and academicians, is now a platform used my hundreds of companies.
There are many attributes of this technology that makes it a platform of choice. Its programming libraries are free. There are commercial libraries as well that makes it suitable for dealing with large amounts of data, usually in the terabyte range. Revolution Analytics also creates algorithms that continuously improve data processing faculties of this technology. Incidentally, most libraries are open source. An example is RHadoop's libraries, which allow users to leverage Hadoop and use R's capabilities in combination. Any 6 Month Industrial Training institute will vouch for this!
R's intelligent mechanisms to process tons of business data
ScaleR is a package that scours all data and scales it using parallel processing. Data is repurposed to smaller chunks and processed simultaneously on different servers. Integrating it as part of Hadoop, businesses can conduct sophisticated statistical analysis. There is also provision to do periodic data checks during processing.
Companies such as Facebook use R to deal with new data sets. Given that there is no need to develop customized tools or write code, all they do is clean and explore data. Data scientists at companies such as Facebook use open-source R packages to develop custom visualizations of data.
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