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Journal Photo for ISCSITR- International Journal of Data Engineering
Peer reviewed only Open Access

ISCSITR- International Journal of Data Engineering (ISCSITR-IJDE)

Publisher : ISCSITR
Data Engineering Data Warehousing Data Mining
e-ISSN no issn _ XXXX
Issue Frequency Monthly
Est. Year 2020
Mobile 1234567809
Language English
APC YES
Impact Factor Assignee Google Scholar
Email iscsitr@gmail.com

Journal Descriptions

ISCSITR - International Journal of Data Engineering (ISCSITR-IJDE) is an open-access, peer-reviewed journal published by the International Society for Computer Science and Information Technology Research (ISCSITR). It focuses on the latest research in data engineering, covering topics such as data architecture, database management, big data technologies, and data security. The journal serves as a platform for data engineers, researchers, and academics to share innovations and solutions in managing and manipulating large-scale data systems, promoting the advancement and dissemination of data engineering knowledge globally. The primary aim of the International Journal of Data Engineering is to drive forward the frontiers of data engineering by encouraging the development and sharing of cutting-edge research. The journal seeks to bridge the divide between theoretical research and practical applications, promoting a comprehensive understanding of how new data engineering techniques and methodologies can be effectively deployed in diverse contexts. Through its rigorous review process, ISCSITR-IJDE is dedicated to maintaining high standards of academic integrity, ensuring that only impactful, innovative, and well-validated research reaches its readership.

ISCSITR- International Journal of Data Engineering (ISCSITR-IJDE) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Data Engineering, Data Warehousing, Data Mining, Machine Learning, Big Data Processing, Data Integration, Data Security, Cloud Computing, Data Quality , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: no issn _ XXXX, Established: 2020,
  • Does Not Provide Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of ISCSITR-IJDE

Research Scholar III February, 2025
AI driven data engineering for driving a data pipeline at scale in IoT ecosystems is what this study covers. It looks into the impact of AI on e.g. data processing, latency reduction, scalab...