Description: Data monitoring is the process of continuously observing data to ensure its accuracy and availability. This process is essential in an increasingly digital world, where information is generated at an accelerated pace. Through various technologies, such as IoT sensors, monitoring platforms, and visualization tools, data can be collected, analyzed, and presented in real-time. IoT sensors, for instance, enable data collection from connected devices, while various monitoring solutions facilitate the visualization and analysis of this data. Security in IoT is crucial, as protecting the collected data is fundamental to preventing security breaches. Additionally, data observability and data loss prevention are key aspects that ensure information remains intact and accessible. In a business environment, data monitoring not only helps optimize processes but also allows for informed decision-making based on accurate and up-to-date data.
History: The concept of data monitoring has evolved over time, starting with manual data recording and analysis systems in the early decades of the 20th century. With the advent of computing and network development, monitoring became more automated. In the 1990s, the rise of the Internet and IoT sensor technology revolutionized how data is collected and analyzed. From 2000 onwards, various tools began to gain popularity, allowing businesses to visualize and monitor data in real-time more effectively.
Uses: Data monitoring is used in various applications, including infrastructure management, IT system monitoring, industrial process optimization, and network security. In the IoT realm, it is employed to track the performance of connected devices and collect environmental data. In the cloud, monitoring is essential to ensure the availability and performance of applications. Additionally, it is used in data loss prevention and data observability to ensure the integrity of information.
Examples: An example of data monitoring is the use of IoT sensors in a factory to monitor machine performance in real-time. Another case is the implementation of various monitoring tools to track the performance of applications, allowing developers to identify and resolve issues quickly. In the security realm, monitoring tools can be used to detect unauthorized access to networks and protect sensitive data.
