Abstract
The term "big data" does not just mean big in size but also high in variety and velocity, making it hard to deal with it using traditional tools and techniques. Nowadays, (BDA) big data analytics is the most effective way to discover hidden patterns and knowledge from vast amounts of data and gain future insight to assist decision-makers in taking the right trend toward presenting better services. In general, Big Data Analytics (BDA) implementations in any domain are complex and resource intensive, with a high failure rate and insufficient guidance or strategy to assist practitioners in making sense of that massive amount of data. In this paper, we define big data in general, determine characteristics of big data for healthcare, and highlight important sources of big data in healthcare. In addition, recommend architecture and tools, identify the most common challenges facing BDA, and recommend a proposed system for BDA in the healthcare sector.