Storm

Srinivasa, K. G.; G. M., Siddesh; H., Srinidhi

doi:10.1007/978-3-319-77800-6_7

K. G. Srinivasa⁶,
Siddesh G. M.⁷ &
Srinidhi H.⁸

Part of the book series: Computer Communications and Networks ((CCN))

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Abstract

Social media computing plays an important role in the fields of digital marketing and advertising. The companies collect reviews of different products from different social networking sites and infer decisions about it. In the previous chapter, Apache Flume was configured with Twitter networking site for collecting the tweets in real time. It provides only the workflow for collecting the data from the social networking sites. However, for the analysis of real-time data, Apache Storm needs to be used. In this chapter, Apache Storm is discussed with its architectural elements and examples. The configuration of Apache Storm with Twitter networking site is discussed as an example of collection and analysis of hashtags.

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Authors and Affiliations

Department of Information Technology, Ch. Brahm Prakash Government Engineering College, Jaffarpur, Delhi, India
K. G. Srinivasa
Department of Information Science and Engineering, Ramaiah Institute of Technology, Bangalore, Karnataka, India
Siddesh G. M.
Department of Computer Science and Engineering, Ramaiah Institute of Technology, Bangalore, Karnataka, India
Srinidhi H.

Authors

K. G. Srinivasa
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Siddesh G. M.
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Srinidhi H.
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Correspondence to K. G. Srinivasa .

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Srinivasa, K.G., G. M., S., H., S. (2018). Storm. In: Network Data Analytics. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-77800-6_7

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DOI: https://doi.org/10.1007/978-3-319-77800-6_7
Published: 27 April 2018
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-77799-3
Online ISBN: 978-3-319-77800-6
eBook Packages: Computer ScienceComputer Science (R0)

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