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A Systematic Study for Big Data Stream Processing Frameworks

Ali Yazici, Ziya Karakaya, Mohammed Alayyoub
<span title="2016-12-21">2016</span> <i title="Journal on Advances in Theoretical and Applied Informatics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4737jk4kpvc6hhnr236rhfthii" style="color: black;">Journal on Advances in Theoretical and Applied Informatics</a> </i> &nbsp;
The choice of the most effective stream processing framework (SPF) for Big Data has been an important issue among the researchers and practioners.  ...  In this paper, we aim to show trends and differences about several SPFs for Big Data by using the so called Systematic Mapping (SM) approach using the related research outcomes.  ...  In this SM study, the authors had to limit the study to a handful of Big Data streaming frameworks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.26729/jadi.v2i2.1914">doi:10.26729/jadi.v2i2.1914</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/glh5raazjbgpzju7iytqk7nxgq">fatcat:glh5raazjbgpzju7iytqk7nxgq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721184802/http://revista.univem.edu.br/jadi/article/download/1914/491" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f9/ec/f9ec5ffbf20a6c78a05f252c95481a71018d422c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.26729/jadi.v2i2.1914"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Comparative Analysis of Big Data Frameworks: An Adoption Perspective

Madiha Khalid, Muhammad Murtaza Yousaf
<span title="2021-11-22">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
As a result, several execution frameworks emerged for big data processing.  ...  This research focuses on comparing the most prominent and widely used frameworks in the open-source landscape.  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app112211033">doi:10.3390/app112211033</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mfh3thwe5ngdnolkhc264rkbdi">fatcat:mfh3thwe5ngdnolkhc264rkbdi</a> </span>
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Performance Assay of Big IoT Data Analytics Framework

<span title="2019-11-30">2019</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3sfifsouvjgadp4gfj54u3z2ku" style="color: black;">International journal of recent technology and engineering</a> </i> &nbsp;
and velocity of Big IoT Stream Data.  ...  management & analytics of this BIG IOT STREAM data.  ...  Keywords : IoT Streaming Analytics, Big IoT Data Analytics, Big Data Analytics Framework , Big IoT Data Analytics Framework, Stream Analytics Comparison I.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.d7383.118419">doi:10.35940/ijrte.d7383.118419</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r65sqxqy6bedpmsvt4sfdqg2ii">fatcat:r65sqxqy6bedpmsvt4sfdqg2ii</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191222150009/https://www.ijrte.org/wp-content/uploads/papers/v8i4/D7383118419.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cb/54/cb5409288ab3bd8f75978a107a2e42b8d15619b5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.d7383.118419"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Spatiotemporal Aspects of Big Data

Saadia Karim, Tariq Rahim Soomro, S. M. Aqil Burney
<span title="2018-12-01">2018</span> <i title="Walter de Gruyter GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4xq442w2bevfas3y4s5ikgsmq" style="color: black;">Applied Computer Systems</a> </i> &nbsp;
Data has evolved into a large-scale data as big data in the recent era. The analysis of big data involves determined attempts on previous data.  ...  This study presents spatiotemporal aspects in big data with reference to several dissimilar environments and frameworks.  ...  These two tables show the comparative study of five frameworks focused on the architectural characteristics and feature attributes of spatiotemporal big data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2478/acss-2018-0012">doi:10.2478/acss-2018-0012</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rxp74qe4bvd4rk6bchql7ajaeu">fatcat:rxp74qe4bvd4rk6bchql7ajaeu</a> </span>
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An experimental survey on big data frameworks

Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
<span title="">2018</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/idqeix2ukbd5fbgjjdkjmaj3ka" style="color: black;">Future generations computer systems</a> </i> &nbsp;
We also present an experimental evaluation and a comparative study of the most popular Big Data frameworks.  ...  Recently proposed frameworks for Big Data applications help to store, analyze and process the data. In this paper, we discuss the challenges of Big Data and we survey existing Big Data frameworks.  ...  We also conducted an extensive comparative study of the above presented frameworks on a cluster of machines and we highlighted best practices while using the studied Big Data frameworks. how to provide  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.future.2018.04.032">doi:10.1016/j.future.2018.04.032</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dxl42yu54retblcgttysadacqu">fatcat:dxl42yu54retblcgttysadacqu</a> </span>
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Distributed Computing Engines for Big Data Analytics

<span title="2019-07-30">2019</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3sfifsouvjgadp4gfj54u3z2ku" style="color: black;">International journal of recent technology and engineering</a> </i> &nbsp;
In this paper, empirical study is made on the three frameworks like Hadoop, Apache Spark and Apache Flink with different parameters like type of network, block size of HDFS, input data size and other configuration  ...  This in turn led to the increased usage of cloud for both storage and processing. For processing big data efficient technologies are required.  ...  With empirical study they found that Storm is better candidate for processing big data streams. Chintapalli et al. [8] also focused on streaming computation frameworks like Flink, Spark and Storm.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.b3771.078219">doi:10.35940/ijrte.b3771.078219</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bbpnou3i2rbtdiqxufjj2kdzwe">fatcat:bbpnou3i2rbtdiqxufjj2kdzwe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200214192101/https://www.ijrte.org/wp-content/uploads/papers/v8i2/B3771078219.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e1/11/e1118994ebc9709f2ac3c696fe57b03cfee7902c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.b3771.078219"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Challenges and Solutions for Processing Real-Time Big Data Stream: a systematic literature review

Erum Mehmood, Tayyaba Anees
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
and can serve as a guide for the implementation of real-time stream processing framework for all shapes of data streams.  ...  The capability of organizing big data in efficient manner to reach a business decision empowers data warehousing in terms of real-time stream processing.  ...  Another recent comparative study of data stream analytics frameworks is presented by [5] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3005268">doi:10.1109/access.2020.3005268</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b2xlblvarrgenctrnpqrpvijau">fatcat:b2xlblvarrgenctrnpqrpvijau</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429143713/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09126812.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b3/5b/b35b9ab2db75f836eb6448ca8300a2a25419dfa1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3005268"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Review of Big Data and Processing Frameworks for Disaster Response Applications

Silvino Pedro Cumbane, Gyozo Gidófalvi
<span title="2019-09-03">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fw2uac7a5jggbfgqwh2wqy7yxu" style="color: black;">ISPRS International Journal of Geo-Information</a> </i> &nbsp;
Deciding which processing framework to use for a specific big data to perform a given task is usually a challenge for researchers from the disaster management field.  ...  Finally, a link between big data and processing frameworks is established, based on the processing provisioning for essential tasks in the response phase of disaster management.  ...  Acknowledgments: We thank the anonymous reviewers for their insightful comments, which significantly improved the paper. Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/ijgi8090387">doi:10.3390/ijgi8090387</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2fhh4kol2nfatbokwiggnfm5ge">fatcat:2fhh4kol2nfatbokwiggnfm5ge</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200216071126/https://res.mdpi.com/d_attachment/ijgi/ijgi-08-00387/article_deploy/ijgi-08-00387-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e7/20/e72099172855eb2c5650e982254ae906ddc02414.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/ijgi8090387"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

A Comparative Study on Big Data Analytics Frameworks, Data Resources and Challenges

Flasteen Abuqabita, Razan Al-Omoush, Jaber Alwidian
<span title="2019-06-20">2019</span> <i title="Canadian Center of Science and Education"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dnqawnwqovdj3mqtnnzu4eiaf4" style="color: black;">Modern Applied Science</a> </i> &nbsp;
In this study we categorized the existing frameworks which is used for processing the big data into three groups, namely as, Batch processing, Stream analytics and Interactive analytics, we discussed each  ...  In order to extract the value from this data and make sense of it, a lot of frameworks and tools are needed to be developed for analyzing it.  ...  In this study we will talk about big data development in section 1, then will present some of big data important resources in section 2, in section 3 there is a summary for knowledge discovery in the data  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5539/mas.v13n7p1">doi:10.5539/mas.v13n7p1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/74icluidsnbd7koqximzjxzfii">fatcat:74icluidsnbd7koqximzjxzfii</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306025932/http://www.ccsenet.org/journal/index.php/mas/article/download/0/0/39840/40894" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/63/98/6398f4b05069651c7eb59062964e7451a09f017b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5539/mas.v13n7p1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Distributed Data Streams in Big Data Environment

Sridhar Bandavaram, Global IT Inc
<span title="2018-02-27">2018</span> <i title="ESRSA Publications Pvt. Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3j6n6lpsjndinobmibtprywohe" style="color: black;">International Journal of Engineering Research and</a> </i> &nbsp;
In addition to this the various framework and architectures of the big data system were compared to elaborate on the advantages and limitations in the process of using distributed data streaming for the  ...  The modern age tools facilitate the production of a large amount of data and the big data application increasingly needs to act on the data in the real time.  ...  It is even capable of processing queries on a much larger scale in a comparable smaller time frame than the traditional centralized system.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17577/ijertv7is020131">doi:10.17577/ijertv7is020131</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mijwvrsefffkfntp4w7675woa4">fatcat:mijwvrsefffkfntp4w7675woa4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220226203009/https://www.ijert.org/research/distributed-data-streams-in-big-data-environment-IJERTV7IS020131.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d8/42/d842eaf8bcdd58feac47c387e721522b791f44c8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17577/ijertv7is020131"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Brief Review of Big Data Analytics Based on Machine Learning

Ahmed Hussein Ali, Mahmood Zaki Abdullah, Shams N. Abdul-wahab, Mohammad Alsajri
<span title="2020-07-30">2020</span> <i title="College of Education - Aliraqia University"> Iraqi Journal for Computer Science and Mathematics </i> &nbsp;
in big data  ...  This review paper presents the researches with a brief display for recently existing works in big data analytics and the effective algorithms of machine learning, furthermore, the issues of resources allocation  ...  Furthermore, several recently existence methods in Big data streaming based on the algorithms of machine learning are also reviewed.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.52866/ijcsm.2020.01.02.002">doi:10.52866/ijcsm.2020.01.02.002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z7rb7dcegjakhhn7evth7rylpe">fatcat:z7rb7dcegjakhhn7evth7rylpe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210716165807/https://journal.esj.edu.iq/index.php/IJCM/article/download/45/21" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/45/3c/453cd51f35c51d05877d52aec5745ed36bd07a50.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.52866/ijcsm.2020.01.02.002"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Survey on Vertical and Horizontal Scaling Platforms for Big Data Analytics

Ahmed Hussein Ali, ICCI, Informatics Institute for Postgraduate Studies, Baghdad, IRAQ, Mahmood Zaki Abdullah, Department of Computer Engineering, Al-Mustansiriyah University, Baghdad, IRAQ
<span title="2019-09-15">2019</span> <i title="Penerbit UTHM"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jfhz5xlytzegzdxnoaj3es2fau" style="color: black;">International Journal of Integrated Engineering</a> </i> &nbsp;
Acknowledgement The authors would like to thank ICCI, Informatics Institute for Postgraduate Studies (IIPS_IRAQ) for their moral support.  ...  Special thanks to the anonymous reviewers for their valuable suggestions and constructive comments.  ...  SAMOA (Scalable Advanced Massive Online Analysis) The SAMOA is an open-source framework for big data mining [39, 40] which provides a collection of distributed data streaming algorithms for the commonest  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.30880/ijie.2019.11.06.015">doi:10.30880/ijie.2019.11.06.015</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qbtbeq6ukbe5pmpmgkld3r33fe">fatcat:qbtbeq6ukbe5pmpmgkld3r33fe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306045720/https://publisher.uthm.edu.my/ojs/index.php/ijie/article/download/2892/3009/" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/92/f7/92f7031d7490ff154cc8a5da883215ac3d6cc236.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.30880/ijie.2019.11.06.015"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Significance Of Big Data Frameworks And Speculative Approaches In Healthcare Systems

G.P. Hegde, Nagaratna Hegde
<span title="">2021</span> <i title="International Journal of Advanced Networking and Applications - IJANA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3zmiq7utfbddhlgtunm4uaw5du" style="color: black;">International journal of advanced networking and applications</a> </i> &nbsp;
This paper also focuses on the significance of speculative approaches and the streaming process of data frameworks.  ...  Selection of nodes for different stages of healthcare is also a challenging issue while selecting data frameworks.  ...  The main novelty of this study is to understand the data frameworks capabilities, this would be helping the researchers to select specific frameworks for health care data analysis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35444/ijana.2021.12609">doi:10.35444/ijana.2021.12609</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z6hamit2lvgqvfpvlgydx46tci">fatcat:z6hamit2lvgqvfpvlgydx46tci</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210707210642/https://www.ijana.in/download12-6-9.php?file=V12I6-9.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ff/ed/ffed0537f44b80abff9c4b97cfa5f52865267d95.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35444/ijana.2021.12609"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Big Data Quality: A systematic literature review and future research directions [article]

Mostafa Mirzaie, Behshid Behkamal, Samad Paydar
<span title="2020-05-21">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Therefore, the purpose of this study is to review and present the state of the art on the quality of big data research through a hierarchical framework.  ...  The dimensions of the proposed framework cover various aspects in the quality assessment of Big Data including 1) the processing types of big data, i.e. stream, batch, and hybrid, 2) the main task, and  ...  Conclusion In this study, a systematic literature review in the big data quality era was conducted to address three research topics including (a) Research topics includes the type of processing, task and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1904.05353v3">arXiv:1904.05353v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f3uzt63bczcxrasofldxmxj7xi">fatcat:f3uzt63bczcxrasofldxmxj7xi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200526032843/https://arxiv.org/ftp/arxiv/papers/1904/1904.05353.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1904.05353v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Performance Overhead on Relational Join in Hadoop using Hive/Pig/Streaming - A Comparative Analysis

Prabin R.Sahoo
<span title="2012-12-15">2012</span> <i title="Foundation of Computer Science"> International Journal of Applied Information Systems </i> &nbsp;
It not only provides a framework for storing data in a distributed environment, but also has set of tools to retrieve and process these data using map-reduce concept.  ...  This paper discusses the result of evaluation of major tools such as Hive, Pigand hadoop streaming for solving problems from a relational prospective and comparing their performances.  ...  Though big data covers a wide range of underlying data storage and map-reduce framework but the focus in this paperis on Hadoop map-reduce framework [1] , storage as HDFS and tools such asPig, Hive and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijais12-450799">doi:10.5120/ijais12-450799</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xs26w4voqneyrmfu74ss7mgf6i">fatcat:xs26w4voqneyrmfu74ss7mgf6i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808150444/http://research.ijais.org/volume4/number7/ijais12-450799.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/12/6e/126e79b98e2dccfed3aefe113be7ee1fb8d79f59.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijais12-450799"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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