Aim and Scope
Our Journal provides a chance for academic and industry professionals to discuss recent progress in the area of advanced research in big data management system.
To bridge the gap of users who do not have access to major databases where one should pay for every downloaded article; this online publication platform is open to all readers as part of our commitment to global scientific society.
Topics Covered
The main topics include but will not be limited to: (Excellent surveying works, summary or introduction of new or fresh idea in these areas are welcome, too).
- Big Data science
- Big Data Statistics
- Confirmatory Data Analysis
- Qualitative Data Analysis
- Online Analytical Processing
- Big Data Analytics Performance
- Big Data Real-Time Analytics
- Big Data Dynamic Analysis
- Big Data Profiling
- Big Data Analytics Application
- Big Data Analytics Platforms
- Big Data Analytics methodologies
- Big Data Analytics Techniques
- Big Data Analytics Environment
- Creating analytical models
- Descriptive, Predictive, and Prescriptive Data Analytics
- Big Data Management Strategies
- Algorithms, approaches and evaluation of Big Data platforms
- Big Data applications on Clouds, GPGPU and Accelerators
- Big Data Software Platforms
- Data-intensive workloads on emerging platforms
- Management and analytics of semi-structured, Graph and Scientific datasets
- Novel Big Data algorithms and applications in all fields of science and engineering
- Storage and Management of Big Data on Clouds