2016 IEEE International Congress on Big Data (BigData Congress) 2016
DOI: 10.1109/bigdatacongress.2016.61
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Open Source Big Data Analytics Frameworks Written in Scala

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Cited by 13 publications
(3 citation statements)
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“…However, it is not advantageous to implement a peerto-peer system without data replication. In a centralized system, the replication may be used or not and it depends on the application requirements: it aims to protect the data and to ensure a better scalability [11] system, the response time to a request is less than one second [24] and the system adapts systematically to the loading time if there is a large volume of requests [25]. This advantage is due to the powerful TTP that supports several management mechanisms.…”
Section: Comparative Study Between the Blockchain And Classical Sysmentioning
confidence: 99%
“…However, it is not advantageous to implement a peerto-peer system without data replication. In a centralized system, the replication may be used or not and it depends on the application requirements: it aims to protect the data and to ensure a better scalability [11] system, the response time to a request is less than one second [24] and the system adapts systematically to the loading time if there is a large volume of requests [25]. This advantage is due to the powerful TTP that supports several management mechanisms.…”
Section: Comparative Study Between the Blockchain And Classical Sysmentioning
confidence: 99%
“…With the increasing amount of heterogeneous, autonomous parallel distributed sources and data, Big Data Analytics (BDA) has become crucial for many business disciplines. In general, BDA provides a new paradigm for handling, storage, management and access to those huge datasets (Miller et al, 2016).…”
Section: Big Datamentioning
confidence: 99%
“…With the increasing amount of heterogeneous, autonomous parallel distributed sources and data, Big Data Analytics (BDA) has become crucial for many business disciplines. In general, BDA provides a new paradigm on how to handle, storage, manage and access to those huge datasets [15].…”
Section: Big Datamentioning
confidence: 99%