Big Data Technologies for Modern Database Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".
Deadline for manuscript submissions: 19 September 2026 | Viewed by 208
Editors
Interests: big data analytics; artificial intelligence and machine learning; optimization theory
Special Issues, Collections and Topics in MDPI journals
Interests: multi-agent systems; machine learning and deep learning; intelligent systems; Internet of Things
Interests: security; wireless networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid growth of data generated from digital platforms, Internet of Things (IoT) devices, financial systems, healthcare services, and smart infrastructures has placed unprecedented demands on modern database systems. Traditional data management architectures are increasingly challenged by issues related to scalability, real-time processing, data heterogeneity, security, and analytical complexity. As a result, advanced big data technologies have become central to the design and evolution of next-generation database systems.
Recent advances in distributed computing frameworks, cloud-native databases, real-time stream processing, and AI-driven data analytics are reshaping how large-scale data is stored, processed, queried, and exploited for decision-making. In parallel, emerging applications such as intelligent financial systems, smart cities, industrial automation, and ESG-driven analytics require database systems that can support high-volume, high-velocity, and high-variety data while ensuring reliability, transparency, and performance.
The aim of this Special Issue is to provide a dedicated forum for high-quality research that explores big data technologies and architectures for modern database systems, with a strong emphasis on scalable design, intelligent data processing, and real-world applications. The Special Issue aligns closely with the scope of Electronics by addressing data-intensive computing systems, hardware–software integration, and advanced information processing techniques.
We welcome original research articles and review papers that present novel methods, system architectures, algorithms, and applications related to big data–enabled database technologies. Contributions may focus on theoretical advances, system-level innovations, or applied case studies that demonstrate the practical impact of these technologies across domains such as finance, healthcare, smart infrastructure, and digital services.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:
- Distributed and cloud-based database systems
- Big data architectures and platforms (e.g., Spark, Hadoop, cloud-native stacks)
- Real-time and streaming data management
- AI- and machine learning–enabled databases
- Scalable data analytics and query optimization
- Data integration, interoperability, and data quality
- Security, privacy, and trust in large-scale database systems
- Big data applications in FinTech, smart cities, healthcare, and ESG analytics
We look forward to receiving your valuable contributions to this Special Issue.
Dr. Fahimeh Jafari
Dr. Nitish Chooramun
Dr. Manel Guerrero-Zapata
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- big data technologies
- modern database systems
- distributed databases
- cloud data platforms
- real-time data processing
- machine learning for databases
- scalable data analytics
- data-intensive systems
- stream processing
- applied big data systems
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