Analytics in the Cloud

Chapter

Abstract

The sheer volume of information available on Cloud, and the rate at which new data is being generated, is overwhelming the capacity of enterprises to manage it and people to use it in a meaningful manner. We examine a typical day in the life of Internet. Such a data deluge has surpassed the capacity of existing data centers to store and process it in a timely manner. This gave rise to a new class of algorithms, such as MapReduce, which we shall study in a later section. In this chapter, we will introduce MapReduce, Hadoop, and give examples of Amazon’s MapReduce (AMR). A class project of Twitter sentimental analysis using Cloud is presented, which was able to predict the outcome of 2016 US presidential elections a full year in advance.

References

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    Amazon Elastic Map-Reduce: https://aws.amazon.com/emr/
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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Naresh Kumar Sehgal
    • 1
  • Pramod Chandra P. Bhatt
    • 2
  1. 1.Santa ClaraUSA
  2. 2.BangaloreIndia

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