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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM36566

A Comparative Analysis of Apache Spark Dataframes over Resilient Distributed Datasets (RDDs)

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-

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Paper ID:

10.55041/IJSREM36566

Volume:

8 |

7 |

Jul 2024

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Publication Frequency:

Monthly (12 issues per year)

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10.55041/IJSREM36566

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Ashima Sahni

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Abstract

Apache Spark is a widely used technology now a days for handling huge datasets in applications due to its flexibility, scalability, robustness, speed and integration with multiple programming languages like Java, Scala, Python. It provides multiple methodologies for implementation like dataframes, RDDs with these programming languages.

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Ashima Sahni, "A Comparative Analysis of Apache Spark Dataframes over Resilient Distributed Datasets (RDDs)," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 7, Jul 2024. https://doi.org/10.55041/IJSREM36566

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7/17/2024

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