Scalable Big Data Architecture for HR Technology and Workforce Analytics

Abstract

Driven by big data technologies, human resource (HR) technology and workforce analytics have now taken a new turn. This research presents a scalable big data architecture specifically designed for HR applications in terms of collection, storage, processing, and visualization of data. The literature here discusses various frameworks within this domain including Hadoop, Spark, cloud-based solutions as well as machine learning models in predictive analytics in HR. Real-time decision-making and employee lifecycle management: With the proposed architecture, analyzing data gets speedier while automating employee processes will be at the work to improve the employee experience. It also tackles challenges like data security, privacy issues, and ethical considerations. The article ends with potential directions to follow to make developing scalable solutions for big data in workforce analytics successful.