Big Data Management in Modern Systems With the rapid advancement of information and communication technologies, Big Data has become a core component of modern systems. These data are generated in massive volumes, at high speeds, and from diverse sources, which requires advanced methods for management and analysis to support decision-making processes. Concept of Big Data Big Data refers to large and complex datasets characterized by high volume, velocity, and variety, as well as veracity and value. Traditional database management systems are insufficient to handle such data efficiently. Big Data Management in Modern Systems Big Data management involves several processes, including data collection, storage, processing, analysis, and security. Modern systems rely on advanced technologies such as: Cloud Computing Hadoop and Spark frameworks NoSQL databases Importance of Big Data Management The importance of Big Data management lies in: Enhancing decision-making quality Supporting predictive analytics Improving organizational efficiency Promoting innovation in sectors such as healthcare, education, and economics Challenges Despite its advantages, Big Data management faces several challenges, including: Data security and privacy issues The need for advanced infrastructure Shortage of skilled professionals Conclusion Big Data management is a fundamental pillar of modern systems, as it enables organizations to transform raw data into valuable insights. With continuous technological advancements, investing in effective and secure Big Data management solutions has become essential.