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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…
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Sharded Database Architectures for Real-Time Analytical Workloads
Sharded database architectures have emerged as a pivotal strategy to manage the growing demand for real-time analytical workloads in large-scale distributed systems. By partitioning data across multiple nodes (shards), systems can achieve horizontal scalability, enhanced throughput,…
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AI in Logistics – Frameworks for Intelligent Routing and Operational Optimization in Supply Chains
The logistics and supply chain industry faces increasing complexity due to rising demand for faster deliveries, fluctuating traffic conditions, and environmental sustainability goals. This study explores the integration of Artificial Intelligence (AI) frameworks, particularly deep reinforcement…
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Vol. 13, Issue 06, June 2025
Published: 2025-05-31 Sr. Title of Research Paper/Article Author(s) e-Certificate Download 1 AI in Logistics – Frameworks for Intelligent Routing and Operational Optimization in Supply Chains DOI: https://doi.org/10.63345/ijrmeet.org.v13.i6.1 Roshan Atulkumar Tathed Pg. 1-12…
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Automating Enterprise Scheduler Service (ESS) Jobs for Optimized Cloud Operations
The rapid evolution of cloud computing environments and the increasing complexity of enterprise operations have heightened the need for intelligent automation solutions. This paper examines the design and implementation of an automated Enterprise Scheduler Service (ESS)…
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Developing Scalable Reporting Solutions with BI Publisher in Oracle Cloud
In today’s data-driven business environment, scalable reporting solutions are essential for effective decision making. This manuscript explores the development of such solutions using Oracle BI Publisher integrated within Oracle Cloud. The study provides a comprehensive review…