The Journal of Database Management (JDM) is a vital resource for researchers, educators, and professionals seeking in-depth knowledge and practical insights into the dynamic field of database technology. JDM focuses on the latest advancements, challenges, and future directions in database design, development, and implementation.
This comprehensive journal covers a wide range of topics, including data modeling, database architectures, data warehousing, data mining, NoSQL databases, and cloud-based database solutions. It explores emerging trends such as big data management, blockchain applications in data security, and the integration of artificial intelligence with database systems. JDM addresses both theoretical foundations and practical applications, catering to academics and industry practitioners alike. The journal publishes research articles, case studies, and tutorials that foster a deeper understanding of database management principles and their real-world impact.
Indexed in prominent databases like Scopus and Web of Science, JDM ensures broad visibility and accessibility of its content. By submitting to JDM, researchers can contribute to advancing the field and improving the efficiency and effectiveness of database systems worldwide. It serves as a platform for sharing innovative ideas, research findings, and best practices in database management.