Development Planning in the Big Data Era: Design References Architecture
Wael ALzyadat1, Aysh Alhroob2

Manuscript received on 18 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 884-887 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A11510581C219/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Big data concept which scale for amount data, that generated from several data sources through captured data process produced large dataset from multiple domains; cloud platforms provide the scalability and availability to carrying on volume, management and analytics data. Software concept in big data regard to cloud deployment involve three main layers are data layers (sources data), data aggregation, and analytics layer. In this research we proposed development references architecture which indicates the processes through life data cycle, cloud (SaaS,PaaS, and IaaS), and analytics layer. The preprocess and acquisition process drive interlinking among layers and provide the validate process.
Keywords: Big Data, Design, Reference Architecture, Cloud, Preprocess, Transformation.
Scope of the Article: Big Data Quality Validation