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Apache Spark: a unified engine for big data processing

Authors:

Shivaram Venkataraman,

Ion StoicaAuthors Info & Claims

Communications of the ACM, Volume 59, Issue 11

Pages 56 - 65

https://doi.org/10.1145/2934664

Published: 28 October 2016 Publication History

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Abstract

This open source computing framework unifies streaming, batch, and interactive big data workloads to unlock new applications.

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Published In

Communications of the ACM Volume 59, Issue 11

November 2016

118 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/3013530

Editor:
Moshe Y. Vardi
Association for Computing Machinery, New York, NY

Issue’s Table of Contents

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 28 October 2016

Published in CACM Volume 59, Issue 11

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Abstract

References

Cited By

Index Terms

Recommendations

Learning Apache Spark 2.0

Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library

Performance comparison of Apache Hadoop and Apache Spark

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