Emerging Technologies: Shaping the Future of Databases and Data Analytics
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 May 2025 | Viewed by 947
Special Issue Editors
Interests: databases; spatial databases; machine learning; machine learning in spatial data; mobile computing; text analytics
Interests: data mining; spatio-temporal data; spiking neural networks; databases; knowledge discovery
Special Issue Information
Dear Colleagues,
In the rapidly evolving landscape of data management and analytics, emerging technologies are transforming how we store, process, and interpret data. From the proliferation of artificial intelligence and machine learning techniques to the growing prominence of blockchain, quantum computing, and the Internet of Things (IoT), the database world is poised for a revolution. These innovations are not only changing the ways in which data is managed but are also unlocking unprecedented insights through advanced data analysis. The importance of this research area cannot be understated, as it influences data security, real-time decision making, and scalability, making it crucial for businesses, scientists, and policymakers.
This Special Issue aims to provide an interdisciplinary platform for exploring how emerging technologies are shaping the future of databases and data analytics. By bridging the gap between research and practical application, this Special Issue aligns with the journal's focus on the latest technological advancements. We aim to foster collaboration and knowledge sharing by highlighting how innovative technologies enhance our ability to manage, analyze, and secure data.
To capture the breadth and depth of emerging technological influence, we welcome contributions that explore, but are not limited to, the following themes:
- Artificial intelligence and machine learning for database management;
- Blockchain technology in database systems;
- Internet of Things (IoT) data analytics;
- Edge computing and distributed data storage;
- Natural language processing (NLP) for enhanced data queries;
- Data security and privacy in emerging technologies;
- Hybrid and multi-cloud data management;
- Advanced data visualization techniques;
- Legacy system modernization;
- Graph databases and their applications;
- Distributed database systems and scalability;
- Spatial and spatio-temporal databases and analytics.
Dr. Robert Bembenik
Dr. Piotr Maciąg
Dr. Łukasz Skonieczny
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 100 words) can be sent to the Editorial Office for announcement on this website.
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-blind 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
- emerging technologies
- database management
- data analytics
- artificial intelligence
- blockchain
- Internet of Things
- quantum computing
- edge computing
- data privacy
- spatio-temporal data analysis
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
