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Encyclopedia of Big Data Technologies — 2019
Languages for Big Data analysis
Marco Aldinucci, Maurizio Drocco, Claudia Misale, Guy Tremblay
parallel
Abstract
In this chapter, some of the most common tools for Big Data analytics are surveyed, inter-alia, Apache Spark, Flink, Storm, and Beam. They are compared against well-defined features concerning programming model (language expressivity and semantics), and execution model (parallel behaviour and run-time support). The implementation of a running example is provided for all of them.
@inbook{bigdata:encyclopedia:18,
abstract = {In this chapter, some of the most common tools for Big Data analytics are surveyed, inter-alia, Apache Spark, Flink, Storm, and Beam. They are compared against well-defined features concerning programming model (language expressivity and semantics), and execution model (parallel behaviour and run-time support). The implementation of a running example is provided for all of them.},
address = {Cham},
author = {Aldinucci, Marco and Drocco, Maurizio and Misale, Claudia and Tremblay, Guy},
booktitle = {Encyclopedia of Big Data Technologies},
date-modified = {2024-04-01 11:30:19 +0200},
doi = {10.1007/978-3-319-63962-8_142-1},
editor = {Sakr, Sherif and Zomaya, Albert},
isbn = {978-3-319-63962-8},
keywords = {parallel},
publisher = {Springer International Publishing},
title = {Languages for Big Data analysis},
url = {https://iris.unito.it/retrieve/handle/2318/1668051/413363/2019_bigdataframeworks_enc.pdf},
year = {2019},
bdsk-url-1 = {https://iris.unito.it/retrieve/handle/2318/1668051/413363/2019_bigdataframeworks_enc.pdf},
bdsk-url-2 = {https://doi.org/10.1007/978-3-319-63962-8_142-1}}