Description: Segregation refers to the separation of data or processes with the aim of ensuring regulatory compliance and information security. In the context of technology, this practice is essential for protecting sensitive data and ensuring it is handled in accordance with current regulations. Segregation can be applied in various areas, such as version control, where different versions of software are separated to avoid conflicts and ensure code integrity. In data management, it involves dividing datasets to facilitate analysis and processing, minimizing the risk of exposing critical information. In the realm of ethics and bias in artificial intelligence, segregation is used to ensure that AI models are not influenced by biased data, which could lead to unfair decisions. In data governance, segregation is key to establishing policies that regulate access to and use of information. In cloud computing, it refers to the separation of data in cloud storage environments to meet specific regulations. Finally, in the ETL (Extract, Transform, Load) process, segregation allows for efficient and secure handling of different data flows, ensuring that each stage of the process is carried out without compromising the quality or security of the information.
