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INTERNATIONAL JOURNAL OF DATA ENGINEERING RESEARCH AND DEVELOPMENT (IJDERD)

Publisher :

IAEME Publication

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Data Mining and Knowledge Discovery
  • Database Management Systems
  • Data Integration and Interoperability

    • +6

e-ISSN :

1142-4177

Issue Frequency :

Monthly

Impact Factor :

2.50

Est. Year :

2024

Mobile :

9884798314

DOI :

YES

Country :

India

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 in - 2024, Impact Factor - 2.50

Provide Crossref DOI

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

Indexing

Scopus Profile
Google Scholar
Scopus Profile
DOI Foundation

Publications of IJDERD

  • dott image February, 2024

DESIGNING EFFICIENT DATA LAKE ARCHITECTURES FOR LARGE-SCALE MULTI-TENANT CLOUD PLATFORMS

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...

  • dott image March, 2024

Architecting Scalable Data Engineering Pipelines for Real-Time Processing in High-Dimensional Data Ecosystems

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...

  • dott image September, 2023

Architecting Scalable Feature Engineering Pipelines through Automated Machine Learning and Data Mining Techniques in Heterogeneous Data Ecosystems

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...

  • dott image April, 2023

Analyzing the Evolution of Data Warehousing Architectures in Response to Real-Time Analytics Demands and Heterogeneous Data Streams

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...

  • dott image April, 2022

A Theoretical and Empirical Examination of Differential Privacy Mechanisms in High-Dimensional Data Environments for Public Sector Analytics

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...

  • dott image August, 2021

A Theoretical and Empirical Investigation of Semantic Interoperability Challenges in Heterogeneous Data Integration Architectures

This study investigates the semantic interoperability issues that arise in heterogeneous data integration architectures, emphasizing both theoretical frameworks and empirical evidence. As da...

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