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Tools and Libraries for Big Data Analysis

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Encyclopedia of Big Data Technologies

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Abstract

Data analysts go through all different kinds of pain on daily basis to extract actionable insights from raw data. They deal with corrupt data, anomalies, missing values, high dimensionality, and irregularities. With Big Data, they also have to deal with data heterogeneity, high arrival velocity, and large volumes. For each Big Data analysis task, using the right tool can significantly reduce the processing time and help generate better insights. This chapter presents a survey of existing Big Data analysis tools and libraries where they are introduced and compared. In the last section, some design principles are highlighted to be considered when developing Big Data analysis tools.

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Author information

Authors and Affiliations

  1. Queen’s University, Kingston, Canada

    Shadi Khalifa

Authors
  1. Shadi Khalifa
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Corresponding author

Correspondence to Shadi Khalifa .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, University of Tartu, Tartu, Estonia

    Sherif Sakr

  2. School of Information Technologies, Sydney University, Sydney, Australia

    Albert Y. Zomaya

Section Editor information

  1. No affiliation provided

    Domenico Talia

  2. No affiliation provided

    Paolo Trunfio

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Khalifa, S. (2019). Tools and Libraries for Big Data Analysis. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_282

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