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Data Mesh Adoption in Multi-Domain Analytics Environments
The evolution of data architectures has culminated in the emergence of the Data Mesh paradigm, a decentralized approach to analytical data platforms that promotes federated ownership, domain-oriented data products, self-serve infrastructure, and federated governance. Traditional monolithic…
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Architecting Distributed Transactional Systems Using DB Sharding and Kafka
Distributed transactional systems are critical for modern applications requiring high availability, scalability, and consistency across geographically dispersed nodes. This manuscript investigates the architectural integration of database (DB) sharding and Apache Kafka as a distributed commit-log to…
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Optimization Strategies for Oracle PL/SQL in Hybrid Data Platforms
Hybrid data platforms, which integrate on-premises databases with cloud-based data stores, present unique challenges and opportunities for Oracle PL/SQL developers seeking both high performance and cost efficiency. As organizations increasingly adopt such mixed environments to leverage…
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Scalable Data Modeling Techniques for Cross-Cloud Analytics Systems
Scalable data modeling techniques are fundamental to the success of modern cross-cloud analytics systems, enabling enterprises to harness massive, heterogeneous data sources distributed across multiple cloud platforms. As organizations increasingly adopt multi-cloud strategies to maximize flexibility,…
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Implementing Role-Based Access Control in Cloud-Native Big Data Warehouses
Role-Based Access Control (RBAC) has emerged as a cornerstone of enterprise security frameworks, ensuring that users receive only the permissions essential for their roles. In cloud-native big data warehouses—platforms designed to ingest, process, and analyze petabyte-scale…
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Vol. 13, Issue 7, July 2025
Published: 2025-06-30 Sr. Title of Research Paper/Article Author(s) e-Certificate Download Article 1 Implementing Role-Based Access Control in Cloud-Native Big Data Warehouses DOI: https://doi.org/10.63345/ijrmeet.org.v13.i7.1 Shivam Agarwal Pg. 1-8 Download PDF 2 Scalable Data…
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Design Patterns for Multi-Tenant Data Lakehouse Architectures on Azure
Multi-tenant data lakehouse architectures on Azure aim to provide scalable, secure, and cost-effective platforms where multiple independent tenants share the same underlying infrastructure while maintaining data isolation, governance, and performance guarantees. This manuscript explores the design…
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Automating Metadata Lineage in Distributed ETL Pipelines Using Informatica
Automating metadata lineage within distributed Extract, Transform, Load (ETL) pipelines is essential for ensuring robust data governance, traceability, and regulatory compliance in modern enterprise environments. This manuscript examines the design, implementation, and evaluation of an automated…
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Comparative Analysis of Spark vs. Snowflake in Enterprise Data Processing
This manuscript presents a comprehensive comparative analysis of Apache Spark and Snowflake, two leading platforms for enterprise-scale data processing. As organizations seek to harness large volumes of structured and unstructured data for analytics and decision support,…
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Data Lake Optimization Using Delta Architecture on Cloud Platforms
The rapid proliferation of data within enterprises has elevated the strategic importance of data lakes as foundational repositories for advanced analytics and machine learning. However, traditional data lake implementations often suffer from performance bottlenecks, data governance…