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Journal Photo for INTERNATIONAL JOURNAL OF DATA ENGINEERING RESEARCH AND DEVELOPMENT
Peer reviewed only Open Access

INTERNATIONAL JOURNAL OF DATA ENGINEERING RESEARCH AND DEVELOPMENT (IJDERD)

Publisher : IAEME Publication
Data Mining and Knowledge Discovery Database Management Systems Data Integration and Interoperability
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e-ISSN 1142-4177
Issue Frequency Monthly
Impact Factor 2.50
Est. Year 2024
Mobile 9884798314
DOI YES
Language English
APC YES
Impact Factor Assignee Google Scholar
Email editor@iaeme.com

Journal Descriptions

The INTERNATIONAL JOURNAL OF DATA ENGINEERING RESEARCH AND DEVELOPMENT (IJDERD) aims to provide a comprehensive platform for researchers, practitioners, and academicians to disseminate cutting-edge research, advancements, and practical applications in the field of data engineering. The journal seeks to foster collaboration, innovation, and knowledge sharing among the global data engineering community. Scope The scope of IJDERD encompasses a broad spectrum of topics related to data engineering. The journal invites original research papers, review articles, case studies, and technical reports that address theoretical, methodological, and practical aspects of data engineering. IJDERD is dedicated to exploring new paradigms, methodologies, and tools that enhance the efficiency, effectiveness, and scalability of data engineering practices. The journal also welcomes interdisciplinary research that bridges data engineering with other fields to solve complex problems and create new opportunities for innovation.

INTERNATIONAL JOURNAL OF DATA ENGINEERING RESEARCH AND DEVELOPMENT (IJDERD) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Data Mining and Knowledge Discovery, Database Management Systems, Data Integration and Interoperability, Blockchain and Distributed Ledger Technologies, Data Visualization, Internet of Things (IoT), Data Engineering, Predictive Analytics, Real-time Data Processing , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 1142-4177, Established: 2024, Impact Factor: 2.50
  • Provides Crossref DOI

  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of IJDERD

A Theoretical and Empirical Investigation of Semantic Interoperability Challenges in Heterogeneous Data Integration Architectures
Diego Fernandez August, 2021
This study investigates the semantic interoperability issues that arise in heterogeneous data integration architectures, emphasizing both theoretical frameworks and empirical evidence. As da...
A Theoretical and Empirical Examination of Differential Privacy Mechanisms in High-Dimensional Data Environments for Public Sector Analytics
Yousef Al-Mansour April, 2022
The integration of differential privacy (DP) mechanisms into public sector analytics has become increasingly critical in the era of high-dimensional data, where privacy preservation and anal...
Analyzing the Evolution of Data Warehousing Architectures in Response to Real-Time Analytics Demands and Heterogeneous Data Streams
Chloe Martin April, 2023
The shift toward real-time decision-making and the exponential growth of heterogeneous data streams have transformed traditional data warehousing paradigms. This paper analyzes the architect...
Architecting Scalable Feature Engineering Pipelines through Automated Machine Learning and Data Mining Techniques in Heterogeneous Data Ecosystems
Jinwoo Park September, 2023
Feature engineering remains a critical and resource-intensive phase in the machine learning (ML) lifecycle, especially within large-scale, heterogeneous data ecosystems. This paper investiga...
Architecting Scalable Data Engineering Pipelines for Real-Time Processing in High-Dimensional Data Ecosystems
Anete Fossen March, 2024
The exponential growth of high-dimensional data has necessitated scalable and efficient real-time data engineering pipelines. This paper explores the architecture and design of such pipeline...
DESIGNING EFFICIENT DATA LAKE ARCHITECTURES FOR LARGE-SCALE MULTI-TENANT CLOUD PLATFORMS
K K February, 2024
This research paper explores the design of efficient data lake architectures tailored for large-scale multi-tenant cloud platforms. As organizations increasingly adopt cloud computing, manag...