Architectural Structures and Viewpoints of Streaming Big Data
AYSH ALHROOB
Aysh Alhroob, Department of Software Engineering, Faculty of Information Technology, Isra University, Amman, Jordan.
Manuscript received on 4 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 2446-2449 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4691098319/2019©BEIESP | DOI: 10.35940/ijrte.C4691.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Streaming big data is one of shifting trend of technology, from data cycle from external behaviour (Hardware) that is low-level low language to digital level, through virtual memory to be implemented as datasets. The proposed model in this preliminary study impending to track data from a different platform and considered important parameters in establishing regulate the storage machinery, storage format, and the pre-processing tools. Moreover, the source for the data type is unstructured data that request organized data in different levels to able forwards process data from machine level to MetaData. The type of storage is virtual memory and the important matter is the capacity is limited. The tuple is third level context the digital data from each sensor through template are recorded by counter time.
Keywords: Streaming Data, Big Data, Volume, Velocity, Preprocess, Smart City, and IoT.
Scope of the Article: Concrete Structures