• DOI:10.17577/ijertv4is050643
• Corpus ID: 60902558

Bigdata Analysis: Streaming Twitter Data with Apache Hadoop and Visualizing using BigInsights

@article{Danthala2015BigdataAS,
  title={Bigdata Analysis: Streaming Twitter Data with Apache Hadoop and Visualizing using BigInsights},
  author={Manoj Kumar Danthala and Siddhartha Ghosh},
  journal={International journal of engineering research and technology},
  year={2015},
  volume={4}
}

• Manoj Kumar Danthala, Siddhartha Ghosh
• Published 20 May 2015
• Computer Science
• International journal of engineering research and technology

Nowadays the term big data becomes the buzzword in every organization due to ever-growing generation of data every day in life. The amount of data in industries has been increasing and exploding to high rates-so-called big data. The use of big data will become a key basis of competition and growth for individual firms. It is difficult to process and stream the big data within the specified resources. So the simple and easy way to solve the problem of big data is with Hadoop which processes the big data in parallel of data intensive jobs on clusters of commodity servers. Here in this paper twitter data, which is the largest social networking area where data is increasing at high rates every day is considered as big data. This data is processed and analyzed using InfoSphere BigInsights tool which bring the power of Hadoop to the enterprise in real time. This also includes the visualizations of analyzing big data charts using big sheets. Keywords—Bigdata; Hadoop; Mapreduce; BigInsights; zettabytes; petabytes