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Big data architecture evolution: 2014 and beyond

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DIVANet '14: Proceedings of the fourth ACM international symposium on Development and analysis of intelligent vehicular networks and applications

Pages 139 - 144

https://doi.org/10.1145/2656346.2656358

Published: 21 September 2014 Publication History

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Abstract

This paper aims at developing the Big Data Architecture, and its relation with Analytics, Cloud Services as well as Business Intelligence. The chief aim from all mentioned is to enable the Enterprise Architecture and the Vision of an Organizational target to utilize all the data they are ingesting and regressing data for their short-term or long-terms analytical needs, while making sure that they are addressing during the design phase of such data architecture for both directly and indirectly related stakeholder. Since all stakeholders have their relative interests to utilize the transformed data-sets. This paper also identifies most of the Big Data Architecture, threat analysis within a Big Data System and Big Data Analytic Roadmaps, in terms of smaller components by conducting a gap-analysis that has significant importance as Baseline Big Data Architecture, targeting the end resultant Architectures, once the distillation process of main Big Data Architecture is completed by the Data Architects.

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Cited By

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Oral HSaygın HMera-Paz JColmenares-Quintero R(2023)Smart Grids to Lower Energy Usage and Carbon Emissions: Case Study Examples from Colombia and TurkeyThe Palgrave Encyclopedia of Urban and Regional Futures10.1007/978-3-030-87745-3_21(1529-1545)Online publication date: 14-Jan-2023
https://doi.org/10.1007/978-3-030-87745-3_21
Oral HSaygın HMera-Paz JColmenares-Quintero R(2022)Smart Grids to Lower Energy Usage and Carbon Emissions: Case Study Examples from Colombia and TurkeyThe Palgrave Encyclopedia of Urban and Regional Futures10.1007/978-3-030-51812-7_21-1(1-17)Online publication date: 10-Mar-2022
https://doi.org/10.1007/978-3-030-51812-7_21-1
Bhardwaj MAhlawat A(2019)Research and Analysis of Technologies used in Big Data2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)10.1109/ICICT46931.2019.8977651(1-6)Online publication date: Sep-2019
https://doi.org/10.1109/ICICT46931.2019.8977651
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Index Terms

Big data architecture evolution: 2014 and beyond
1. Information systems
  1. Data management systems
    1. Information integration
      1. Extraction, transformation and loading
2. Software and its engineering
  1. Software organization and properties
    1. Extra-functional properties
      1. Interoperability

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Published In

DIVANet '14: Proceedings of the fourth ACM international symposium on Development and analysis of intelligent vehicular networks and applications

September 2014

178 pages

ISBN:9781450330282

DOI:10.1145/2656346

General Chair:
Mirela S.M.A. Notare
Sao Jose Municipal University, Brazil
,
Program Chair:
Robson E. De Grande
NSERC DIVA Research Centre, Canada

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 ACM 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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Association for Computing Machinery

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Publication History

Published: 21 September 2014

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MSWiM'14

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SIGSIM

MSWiM'14: 17th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

September 21 - 26, 2014

QC, Montreal, Canada

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DIVANet '14 Paper Acceptance Rate 20 of 78 submissions, 26%;

Overall Acceptance Rate 70 of 308 submissions, 23%

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Oral HSaygın HMera-Paz JColmenares-Quintero R(2023)Smart Grids to Lower Energy Usage and Carbon Emissions: Case Study Examples from Colombia and TurkeyThe Palgrave Encyclopedia of Urban and Regional Futures10.1007/978-3-030-87745-3_21(1529-1545)Online publication date: 14-Jan-2023
https://doi.org/10.1007/978-3-030-87745-3_21
Oral HSaygın HMera-Paz JColmenares-Quintero R(2022)Smart Grids to Lower Energy Usage and Carbon Emissions: Case Study Examples from Colombia and TurkeyThe Palgrave Encyclopedia of Urban and Regional Futures10.1007/978-3-030-51812-7_21-1(1-17)Online publication date: 10-Mar-2022
https://doi.org/10.1007/978-3-030-51812-7_21-1
Bhardwaj MAhlawat A(2019)Research and Analysis of Technologies used in Big Data2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)10.1109/ICICT46931.2019.8977651(1-6)Online publication date: Sep-2019
https://doi.org/10.1109/ICICT46931.2019.8977651
Rossi FRodrigues GCalheiros RConterato M(2017)Dynamic Network Bandwidth Resizing for Big Data Applications2017 IEEE 13th International Conference on e-Science (e-Science)10.1109/eScience.2017.56(423-431)Online publication date: Oct-2017
https://doi.org/10.1109/eScience.2017.56
Bhardwaj ASingh W(2017)Systematic review of big data analytics in governance2017 International Conference on Intelligent Sustainable Systems (ICISS)10.1109/ISS1.2017.8389462(501-506)Online publication date: Dec-2017
https://doi.org/10.1109/ISS1.2017.8389462
Grabis JPirta R(2017)A Mathematical Model for Evaluation of Data Analytics Implementation Alternatives2017 IEEE 21st International Enterprise Distributed Object Computing Workshop (EDOCW)10.1109/EDOCW.2017.21(79-84)Online publication date: Oct-2017
https://doi.org/10.1109/EDOCW.2017.21
Hentschel JSchmietendorf ADumke R(2016)Big Data Benefits for the Software Measurement Community2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA)10.1109/IWSM-Mensura.2016.025(108-114)Online publication date: Oct-2016
https://doi.org/10.1109/IWSM-Mensura.2016.025

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