Description: Hadoop security refers to the measures and protocols implemented to protect the data and applications operating within the Hadoop ecosystem. This framework, designed for processing and storing large volumes of data, faces unique security challenges due to its distributed architecture and open nature. Key features of Hadoop security include authentication, authorization, data encryption, and auditing. Authentication ensures that only authorized users and applications can access resources, while authorization defines what actions those users can perform. Encryption protects data both at rest and in transit, ensuring that sensitive information is not accessible to unauthorized individuals. Auditing allows for tracking activities within the system, which is crucial for detecting and responding to security incidents. The relevance of security in Hadoop lies in the growing concern for data privacy and the need to comply with regulations such as GDPR. As organizations adopt Big Data solutions, implementing robust security practices becomes an essential component for safeguarding the integrity and confidentiality of the data stored and processed in these environments.
