BIG DATA COMPUTING AND SECURITY 2

Big Data computing and security focus on the powerful infrastructure needed to process massive datasets and the protective measures required to safeguard them. Big Data computing relies on distributed systems, parallel processing, and cloud-based platforms to handle the enormous scale, speed, and diversity of information. These systems enable advanced analytics, machine learning, and real-time decision-making across industries. However, with such vast amounts of sensitive data being collected and processed, security becomes a critical foundation. Key concerns include data privacy, access control, encryption, secure storage, and protection against cyberattacks. Ensuring the integrity and confidentiality of Big Data requires robust frameworks, compliance with regulations, and continuous monitoring to prevent breaches. Together, computing and security form the backbone of trustworthy Big Data systems, enabling organizations to harness insights while maintaining resilience against threats.