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Performance Evaluation of Big Data and Business Intelligence Open Source Tools: Pentaho and Jaspersoft

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Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Part of the book series: Studies in Big Data ((SBD,volume 30))

Abstract

Despite the recent increase in the utilisation of the tools of “Big Data” and “Business Intelligence” (BI), the investigation that has been carried out regarding the inferences related to its implementation and performance is relatively scarce. Analytical tools have a significant impact on the development and sustainability of a company since the evaluation of the clients information are critical aspects and crucial in the progress towards a competitive market. All corporations at certain phase in their life cycle, require to implement different and improved data processing systems in order to optimize the decision making procedures. Enterprises utilise BI outcomes to pull together records that has been extracted from consolidated analyses from signals in the data grouping of BI information scheme. This, in turn, gives a marked advantage to companies in the development of activities based on predictions, and also to compete with competitors in the market. Business Intelligence applications are precise implements that resolve this matter for companies that require, data storing and administration. The chapter examines the most recommended Business Intelligence open source applications currently available: Pentaho and Jaspersoft, processing big data over and done with six databases of diverse sizes, with a special focus on their extract transform and load and Reporting procedures by calculating their routines through computer algebra systems. Moreover, the chapter correspondingly makes available a complete explanation of the structures, features, and comprehensive implementation scenario.

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Author information

Authors and Affiliations

  1. Charles Sturt University, Melbourne, Australia

    Victor M. Parra

  2. The University of Melbourne, Melbourne, Australia

    Malka N. Halgamuge

Authors
  1. Victor M. Parra
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  2. Malka N. Halgamuge
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Corresponding author

Correspondence to Victor M. Parra .

Editor information

Editors and Affiliations

  1. Techno India College of Technology , Kolkata, West Bengal, India

    Nilanjan Dey

  2. Cairo University , Cairo, Egypt

    Aboul Ella Hassanien

  3. Charotar University of Science and Tech , Changa, Gujarat, India

    Chintan Bhatt

  4. Tanta University , Tanta, Egypt

    Amira S. Ashour

  5. Dept of Computer Science and Engg, PVP Siddhartha Institute of Technology Dept of Computer Science and Engg, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

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Parra, V.M., Halgamuge, M.N. (2018). Performance Evaluation of Big Data and Business Intelligence Open Source Tools: Pentaho and Jaspersoft. In: Dey, N., Hassanien, A., Bhatt, C., Ashour, A., Satapathy, S. (eds) Internet of Things and Big Data Analytics Toward Next-Generation Intelligence. Studies in Big Data, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-319-60435-0_6

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  • DOI: https://doi.org/10.1007/978-3-319-60435-0_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60434-3

  • Online ISBN: 978-3-319-60435-0

  • eBook Packages: EngineeringEngineering (R0)

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