Big Data: Multidimensional Design and Modeling
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 1808
Special Issue Editor
Interests: web application development; web accessibility and usability; video game accessibility; e-learning; Massive Open Online Courses (MOOC); Open Educational Resources (OER)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Big Data refers to great volumes of data, which generate and transfer very rapidly, and are too unstructured for the traditional information systems to handle. In less than a decade, Big Data has been established as a fundamental and essential component of information systems and, especially, decision-support systems. The combination of Big Data and Data Mining has created new business opportunities and new solutions to difficult problems.
Big Data usually relies on relational and non-relational data models. However, the existing paradigms for data modelling are neither sufficient in quantity nor suitable to deal with Big Data requirements. The volume, velocity, and variety of Big Data demand new modelling techniques and frameworks to be able to cope with the challenges of Big Data. For that reason, it is essential to rethink the existing modelling approaches, and either enhance the existing ones or develop new ones.
The purpose of this Special Issue is to compile a collection of scientific papers addressing the latest developments and efforts in the modelling of Big Data by the research community. Papers combining a high academic standard coupled with a practical focus on the field are welcomed.
Prof. Dr. Sergio Luján-Mora
Guest Editor
Manuscript Submission Information
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Keywords
- Conceptual, Logical and Physical Design of Big Data
- Metadata and Applications in Big Data
- Big Data Warehousing
- Big Data Mining
- Modeling of NoSQL databases
