Over the past decade, the term $$Big Data$$ has gained increasing popularity. Initially, it referred to data generated in massive volumes, such as internet search queries, weather sensor data, and social media information. Nowadays, Big Data represents large amounts of information from diverse sources that cannot be processed conventionally or without computational intervention. Big Data can be stored in structured, unstructured, or semi$-$structured formats.

Many Systems and Organizations generate massive quantities of big data on daily basis, some of which are publicly available for analysis. Consequently, Machine Learning Systems have been developed to sift through this data, rapidly identify patterns, and solve problems. This has led to the emergence of Data Science Analytics as a discipline to design, build and test machine learning and artificial intelligence systems.

Leveraging Big Data requires a broad range of knowledge and skills, creating new opportunities for previously inaccessible organizations. It allows business to gain a comprehensive understanding of global trends, enabling more accurate and up$-$to$-$date decision$-$making. Big Data can help identify potential business risks earlier and minimize costs without compromising innovation. However, the rapid application of Big Data raises concerns about security, the ethical storage of personal data from multiple sources, and the sustainability of energy requirements in large data warehouses.

You as a member of the Research and Development $($R&D$)$ Department in TechKnow Company, have been assigned to a mini$-$project to find out the application of Big Data and IoT$/$AI to potential future developments. As an example, medicine and healthcare, virtual worlds, and scientific research.

You have been asked to plan $-$as a project$-,$ to make a performance review, and to do an interview$-$based research about a maternity department within a Jordanian hospital. The main research's aim is to make a study about the ability of using the Big$-$data and IoT technologies within the maternity department to help the hospital's research and management departments with real$-$time monitoring, data archiving, and automation features.