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Big Data & Data Science: A Descriptive Research on Big Data Evolution and a Proposed Combined Platform by Integrating R and Python on Hadoop for Big Data Analytics and Visualization

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Anika Tahsin,

Md. Manzurul HasanAuthors Info & Claims

ICCA 2020: Proceedings of the International Conference on Computing Advancements

Article No.: 83, Pages 1 - 2

https://doi.org/10.1145/3377049.3377051

Published: 20 March 2020 Publication History

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Abstract

In this technological era, Big Data is a new glorified term in where Data Science is the secret sauce of it. Undoubtedly, the digitalization of data is not the whole story; it is just a beginning of Data Science area of study. There was a time when the main focus was on building framework and processing of this data. After Hadoop HDFS and MapReduce resolved this issue already typically the concentration will follow to the next level. In terms of this, Big Data on Data Science becoming the most hyped solving area. At the moment of zettabytes data, R, Python, Hadoop all are in progressing phase in where integration among individual framework and tools will be highlighted and newest data handling tools are integrating with latest technology in terms of analytics competence. There will be a positivity when this integration will expose a new horizon for researchers and develop the preeminent solution based on the challenges.

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Shakeel HIram SAl-Aqrabi HAlsboui THill R(2022)A Comprehensive State-of-the-Art Survey on Data Visualization Tools: Research Developments, Challenges and Future Domain Specific Visualization FrameworkIEEE Access10.1109/ACCESS.2022.320511510(96581-96601)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3205115
Mahalle PShinde GPise PDeshmukh JMahalle PShinde GPise PDeshmukh J(2021)Introduction to Data ScienceFoundations of Data Science for Engineering Problem Solving10.1007/978-981-16-5160-1_1(1-13)Online publication date: 22-Aug-2021
https://doi.org/10.1007/978-981-16-5160-1_1
Priyanka EThangavel SMeenakshipriya BPrabu DSivakumar N(2021)Big Data Technologies with Computational Model Computing Using Hadoop with Scheduling ChallengesDeep Learning and Big Data for Intelligent Transportation10.1007/978-3-030-65661-4_1(3-19)Online publication date: 11-Apr-2021
https://doi.org/10.1007/978-3-030-65661-4_1

Index Terms

Big Data & Data Science: A Descriptive Research on Big Data Evolution and a Proposed Combined Platform by Integrating R and Python on Hadoop for Big Data Analytics and Visualization
1. Information systems
  1. Data management systems

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ICCA 2020: Proceedings of the International Conference on Computing Advancements

January 2020

517 pages

ISBN:9781450377782

DOI:10.1145/3377049

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 20 March 2020

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January 10 - 12, 2020

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Shakeel HIram SAl-Aqrabi HAlsboui THill R(2022)A Comprehensive State-of-the-Art Survey on Data Visualization Tools: Research Developments, Challenges and Future Domain Specific Visualization FrameworkIEEE Access10.1109/ACCESS.2022.320511510(96581-96601)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3205115
Mahalle PShinde GPise PDeshmukh JMahalle PShinde GPise PDeshmukh J(2021)Introduction to Data ScienceFoundations of Data Science for Engineering Problem Solving10.1007/978-981-16-5160-1_1(1-13)Online publication date: 22-Aug-2021
https://doi.org/10.1007/978-981-16-5160-1_1
Priyanka EThangavel SMeenakshipriya BPrabu DSivakumar N(2021)Big Data Technologies with Computational Model Computing Using Hadoop with Scheduling ChallengesDeep Learning and Big Data for Intelligent Transportation10.1007/978-3-030-65661-4_1(3-19)Online publication date: 11-Apr-2021
https://doi.org/10.1007/978-3-030-65661-4_1

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Big Data Analysis with Interactive Visualization using R packages

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