Transactions on Scalable Data Science Infrastructure

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Transactions on Scalable Data Science Infrastructure, published by Mantech Publications, is a peer-reviewed journal focused on innovative research in data science infrastructure and scalable systems. It covers topics such as big data frameworks, distributed computing, cloud-based analytics, and high-performance data architectures. The journal aims to bridge the gap between theory and practical deployment of large-scale data solutions. Researchers and practitioners contribute cutting-edge work to advance the efficiency and scalability of modern data-driven technologies.
Journal Particulars
| Title | Transactions on Scalable Data Science Infrastructure |
| Issues Per Year (Frequency) | 3 issues (April, August, December) |
| Format of Publication | Online + Print |
| Starting Year | 2025 |
| Subject | Engineering |
| Type of Publication | Peer-reviewed Journal (Refereed Journal) |
| Language | English |
| Publisher | Mantech Publications Pvt. Ltd. |
| Publication Address | 402, 4th Floor, Plot No-127, Gyankhand-1, Indirapuram, Ghaziabad-201014 Uttar Pradesh (U.P.) |
| Email id | info@mantechpublications.com, mantechpublications@gmail.com |
| Contact No | 7838047803, 0120 – 4076613 |
| Copyright | © Mantech Publications Pvt. Ltd |
| Readership | Professors, Research Scholars, Students, Engineers |
| Website | https://mantechpublications.com/transactions-on-scalable-data-science-infrastructure/ |
| Indexed in | Google Scholar, Crossref, Figshare, Zenodo, DOI |
| Editor -in-Chief | |
| ISSN |
Editorial Board
Editor-in-Chief
Dr. T. Aditya Sai Srinivas
Designation: Head AIML, Assistant Professor
Department: Computer Science engineering
College Name: Jayaprakash Narayan College of Engineering
Official Email id:
taditya@jpnce.ac.in
Dr. Manjushree Nayak
Designation: Assistant Professor
Department: Computer Science & Engineering College: NIST UNIVERSITY
Official Email ID:
manjushree.nayak@nist.edu
Dr.N.B.Mahesh Kumar
Designation: Associate Professor
Department: Computer Science & Engineering
College Name: Hindusthan Institute of Technology
Official Email id: maheshkumar.nb@hit.edu.in
Kalyan Kumar Jena
Designation : Assistant Professor
Department: Computer Science & Engineering
College Name: Parala Maharaja Engineering College (Govt.)
Official Email id:
kalyan.cse@pmec.ac.in
Dr.R.Sandhiya
Designation: Asst. Professor
Department: Information Technology
College Name: Coimbatore Institute of Technology
Official mail id:
rsandhiya@cit.edu.in
Transactions on Scalable Data Science Infrastructure
The Transactions on Scalable Data Science Infrastructure journal is a dedicated platform for researchers, academicians, students, and institutions to publish and access high-quality research in the field of data science, big data, and infrastructure technologies. With the growing demand for scalable and efficient data systems, this journal provides a trusted source of innovative studies and practical applications that cater to both academic and industrial needs.
Importance of Transactions on Scalable Data Science Infrastructure
In today’s digital age, data has become one of the most valuable assets for businesses, institutions, and governments. The Transactions on Scalable Data Science Infrastructure journal emphasizes the importance of scalable infrastructure that can handle massive data efficiently. Subscribers, including universities, engineering colleges, and libraries, benefit from timely access to cutting-edge research, while authors and researchers gain global visibility for their contributions.
A Platform for Authors and Researchers
For authors and researchers, publishing in the Transactions on Scalable Data Science Infrastructure journal offers an opportunity to showcase original work in areas such as machine learning, deep learning, artificial intelligence, cloud computing, and big data analytics. The peer-reviewed process ensures that only high-quality, impactful papers are included. Students and early-stage researchers can also publish their studies, receiving valuable feedback from experts in the field.
Why Institutes and Colleges Subscribe
Subscribers such as engineering colleges, management institutes, and universities find the Transactions on Scalable Data Science Infrastructure journal highly beneficial. Access to a wide collection of research articles helps students, faculty, and scholars enhance their knowledge base. Institutions also use this journal as a teaching and learning resource, supporting coursework, project development, and dissertations related to scalable data systems.
Key Research Areas Covered
The Transactions on Scalable Data Science Infrastructure focuses on multiple domains, including:
- Scalable machine learning algorithms
- Big data analytics and infrastructure
- Cloud and edge computing
- Distributed systems and parallel processing
- Artificial intelligence in data-intensive applications
- Data engineering and database management
- IoT and smart data systems
Each of these areas addresses the real-world challenges of managing large-scale data systems, making the journal an essential resource for both academics and industry professionals.
Benefits of Publishing
Publishing with the Transactions on Scalable Data Science Infrastructure journal ensures that your research reaches a global audience. Authors benefit from:
- Peer-reviewed validation of their work
- High academic visibility
- Indexing in reputed research databases
- Opportunities for citation and collaboration
- Recognition in the data science community
Researchers also gain long-term benefits as their published work contributes to their academic profile and career growth.
Benefits of Subscribing
For institutions, subscribing to the Transactions on Scalable Data Science Infrastructure journal provides:
- Access to the latest peer-reviewed research
- A reliable academic resource for libraries
- Support for faculty and student research
- Insights into emerging trends in data science infrastructure
- Strengthening of academic and research credentials
Subscribers stay updated with the newest advancements, ensuring their students and staff remain competitive in research and professional domains.
Bridging Academia and Industry
The Transactions on Scalable Data Science Infrastructure serves as a bridge between academia and industry. While academic researchers publish theoretical studies and innovative approaches, industry professionals contribute case studies and practical implementations. This collaboration enriches the content, making the journal relevant to diverse stakeholders.
Global Reach and Collaboration
By publishing in the Transactions on Scalable Data Science Infrastructure journal, researchers gain international visibility. The journal encourages global collaboration by connecting authors and readers from different countries and backgrounds. This diversity ensures that readers get exposure to a wide range of perspectives and solutions.
Supporting Students and Young Researchers
Students pursuing degrees in computer science, information technology, or data engineering benefit greatly from access to the Transactions on Scalable Data Science Infrastructure journal. It provides them with up-to-date references for projects, theses, and dissertations. Young researchers also find it an excellent platform to start their publication journey and build credibility in the research community.
Commitment to Quality Research
Every paper published in the Transactions on Scalable Data Science Infrastructure undergoes a strict review process. The editorial board consists of experts from leading institutions and industries, ensuring that the content meets international standards. This commitment to quality makes the journal a trusted source for reliable research.
Future Scope of Data Science Infrastructure
With the exponential growth of data, the demand for scalable infrastructure will only increase. The Transactions on Scalable Data Science Infrastructure will continue to focus on futuristic technologies like quantum computing, AI-driven infrastructure, and advanced analytics. Authors and subscribers can look forward to groundbreaking studies that shape the future of data management.
Why Choose Transactions on Scalable Data Science Infrastructure
- A dedicated platform for scalable data research
- Trusted by institutes, colleges, and universities
- Peer-reviewed for quality assurance
- Ideal for both authors and subscribers
- Covers cutting-edge topics in AI, ML, and big data
- Encourages global collaboration and visibility
- Supports academic growth for students and researchers
Final Thoughts
The Transactions on Scalable Data Science Infrastructure journal stands as a valuable resource for both researchers who want to publish their innovative work and institutions seeking access to reliable academic research. By combining quality, reach, and relevance, this journal ensures that the community of data science professionals, scholars, and students continues to grow and evolve with the latest advancements in scalable infrastructure.




