A Study Review of Common Big Data Architecture for Small-medium Enterprise

Abstract

This paper will be composed by conducting a document review and collect papers that related to big data solution and infrastructure. The survey is trying to cover the phases for building a common big data pipelines by following these structures: enterprise vision and mission that affect the big data architecture, defining the data sources, building the backend services to collect the datapoint from the data sources, utilize the data pipeline to prevent data loss, consuming the data pipeline message and deliver it to the data storage, build the raw data storage, define business-driven data visualization and analytics, build the ETL, build business-oriented data storage, applying statistical and machine learning, perform the business-driven visualization and implementing the monitoring for the big data pipelines. The survey will emphasize that many big data components could help the small-medium enterprise to tackle their big data operational issues.