The Data Stream Principles, Tools and Applications: A Review

In recent years, there has been a vast and massive development in device technology and new emerging technologies. Through them, there are new ways to collect data continuously and remarkably, such as: sensor networks, mobile devices, satellites, telecommunications, health care sectors, communication organizations, etc. This kind of data is called a data stream. A data stream is a series of elements and data that come from many different sources. Here, the need arises for quick data stream processing systems that process data in the shortest amount of time. The research aims to study the following algorithms and techniques, the challenges of the broadcast data, and the tools used to process this stream according to real-time requirements. The contributions of this study are to understand data streams, online processing and execution, concept drift detection, and the selection of the best tools for decision-making.