In this work we found that Ambient Assisted Living systems provide an ecosystem of medical sensors, computers, wireless networks and software applications for healthcare monitoring. The primary goal of AAL solutions is to extend the time which elderly people can live independently in their preferred environment using ICT technologies for personal healthcare. Presently, there is a huge demand for AAL systems, applications and devices for personal health monitoring and telehealth services, but this services not support big data tools. Also we found that implement Apache Spark in Ambient Assisted Living systems will allows us to have big of big amounts of personal data and information, from which relevant knowledge on the user’s habits or health. Such a process is critical and necessary to enable the automatic detection of anomalous events, and a prompt reaction to them, according to the level of risk and danger estimated. By using Apache Spark, we were collecting and processing personal data, like health-related data, or data about the person’s habits and preferences. At the same time, the volumes of data collected in health and social care are drawing increasing business and economic interests. Security and privacy aspects play an important role in the successful adoption of assistive technologies in the Ambient Assisted Living environment. Also Apache Spark allows processing the data in real time streaming, for different types of data like text data, or graph data that fetch from different kind of sensors.