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Open Source Software (OSS) for Big Data

Open Source Software (OSS) for Big Data

Richard S. Segall
Copyright: © 2020 |Pages: 23
ISBN13: 9781799827689|ISBN10: 1799827682|ISBN13 Softcover: 9781799827696|EISBN13: 9781799827702
DOI: 10.4018/978-1-7998-2768-9.ch002
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MLA

Segall, Richard S. "Open Source Software (OSS) for Big Data." Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities, edited by Richard S. Segall and Gao Niu, IGI Global, 2020, pp. 50-72. https://doi.org/10.4018/978-1-7998-2768-9.ch002

APA

Segall, R. S. (2020). Open Source Software (OSS) for Big Data. In R. Segall & G. Niu (Eds.), Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities (pp. 50-72). IGI Global. https://doi.org/10.4018/978-1-7998-2768-9.ch002

Chicago

Segall, Richard S. "Open Source Software (OSS) for Big Data." In Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities, edited by Richard S. Segall and Gao Niu, 50-72. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2768-9.ch002

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Abstract

This chapter discusses Open Source Software and associated technologies for the processing of Big Data. This includes discussions of Hadoop-related projects, the current top open source data tools and frameworks such as SMACK that is acronym for open source technologies Spark, Mesos, Akka, Cassandra, and Kafka that together compose the ingestion, aggregation, analysis, and storage layers for Big Data processing. Tabular summaries and categories for 38 Open Source Statistical Software (OSSS) are provided that include for each listing of features and URLs for free downloads. The current challenges of Big Data and Open Source Software are also discussed.

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