JANOLI International Journal of Big Data

About the Journal

The JANOLI International Journal of Big Data (JIJBD) is a peer-reviewed, open-access publication that publishes articles monthly. It serves as a platform for researchers, data scientists, and industry professionals to share innovative findings, methodologies, and applications in big data. As a globally recognized journal, it covers fundamental theories, advanced analytics, and real-world implementations of big data across various industries. Additionally, the journal plans to feature special issues on emerging trends and challenges in big data and its applications.

Multidisciplinary subjects:

• Scalable Data Architectures and Storage
• Distributed Systems and Parallel Computing
• Real-time Analytics and Stream Processing
• Data Lakes and Data Warehousing
• Machine Learning with Big Data
• Privacy and Security in Big Data
• Internet of Things (IoT) Data Management
• Big Data in Smart Cities and Urban Planning

SCOPE:

• Big Data Analytics and Visualisation
• Machine Learning and AI for Big Data
• Data Mining and Knowledge Discovery
• Scalable and Distributed Computing
• Cloud and Edge Computing in Big Data
• Data Privacy, Security, and Ethics
• Internet of Things (IoT) and Sensor Data Processing
• Real-time Data Processing and Streaming Analytics
• Big Data Applications in Healthcare, Finance, and Business
• Blockchain and Big Data Integration
• International Collaboration in Big Data Research