European Journal of Computer Science and Information Technology (EJCSIT)

EA Journals

Cloud Migration

The Evolution of SAP SD: From On-Premise to Cloud Solutions (Published)

This article examines the evolution of SAP Sales and Distribution (SD) from traditional on-premise implementations to modern cloud-based solutions within the SAP S/4HANA environment. It explores the technological journey through five key areas: introduction to SAP SD’s historical development, the architectural transformation from complex to simplified structures, the emergence of cloud-based innovation ecosystems, the transformation of core sales and distribution functions, and migration strategies with future technological directions. The investigation draws on comprehensive studies across multiple industries to analyze how these advancements have reshaped business operations, enhanced user experiences, and improved overall efficiency. The article provides detailed analysis of performance improvements, implementation strategies, and best practices backed by case studies and quantitative analysis, demonstrating how organizations can leverage these innovations to gain competitive advantages through streamlined operations and data-driven decision making.

Keywords: Cloud Migration, Digital Transformation, Enterprise Resource Planning, business process automation, sales optimization

Strategic Azure Cloud Migration for Telecom: Best Practices and Emerging Trends (Published)

The migration of telecommunications infrastructure to cloud platforms, particularly Microsoft Azure, represents a transformative shift in how telecommunications providers manage and optimize their networks. This comprehensive article explores the imperatives driving cloud adoption in telecommunications, examining the substantial improvements in operational efficiency, cost reduction, and service reliability achieved through strategic migration initiatives. The article investigates hybrid cloud adoption strategies, the implementation of advanced Azure technologies including AI-powered analytics, Kubernetes orchestration, and serverless computing solutions. Through detailed case studies of European and Asia-Pacific telecommunications providers, the article demonstrates the practical benefits and challenges of cloud migration. The article further examines critical considerations in latency management, regulatory compliance, and multi-cloud interoperability, while exploring emerging trends in AI-driven automation, edge computing integration, and zero-trust security architectures.

Keywords: Cloud Migration, azure technologies, edge computing, network virtualization, security architecture, telecommunications infrastructure

Sustainability Initiatives and Cloud Computing: Reducing Carbon Footprint in Data Centers (Published)

Cloud computing has emerged as a transformative solution to address the environmental challenges posed by traditional data centers. As digital infrastructure continues to expand, the technology sector faces increasing scrutiny regarding its carbon footprint. This article explores the intersection of sustainability initiatives and cloud computing, highlighting how innovative approaches are reducing environmental impact while maintaining performance and reliability. Cloud platforms achieve significant benefits through resource optimization, energy efficiency investments, and renewable energy integration. Technological innovations driving sustainability include advanced cooling technologies, workload optimization strategies, and hardware improvements. Organizations can implement hybrid and multi-cloud approaches, cloud-native application designs, and comprehensive sustainability metrics to further enhance environmental performance. Emerging trends such as circular economy principles, edge computing optimization, and quantum computing integration promise additional sustainability advances in the future.

Keywords: Cloud Migration, carbon footprint, circular economy, edge computing, virtualization

Amplifying Big Data Utilization in Healthcare Analytics Through Cloud and Snowflake Migration (Published)

Amplifying the utilization of big data in healthcare analytics through cloud and Snowflake migration presents a significant opportunity to enhance data-driven insights and decision-making in the healthcare sector. This migration makes it easier to move large amounts of healthcare data to the cloud. Applications deployed in could are scalable for in-depth analysis in Health Care industry. The cloud is becoming more popular for storing data and running applications because it can easily grow with your needs, requires little to no management, improves security, and offers budget flexibility. The benefits of the cloud are obvious — once you get there. Moving to the cloud requires planning, strategy, and the right tools for data migration. [1] By using Snowflake’s advanced data warehousing tools, healthcare organizations can smoothly handle and analyze their complex and varied data. This helps them quickly uncover important insights and make better decisions. The shift to cloud technology and Snowflake has the potential to significantly enhance real-time analytics, personalized patient care, and evidence-based decision-making in healthcare. When healthcare organizations leverage big data in a cloud-based setting, they can discover valuable insights from their data, ultimately improving clinical outcomes, operational efficiency, and healthcare delivery. This study explores how the adoption of cloud and Snowflake in healthcare analytics can bring about transformative change and create new possibilities for leveraging data and generating insights in the healthcare sector.

 

Keywords: Big Data, Cloud Migration, Data Insights, Decision Making, Healthcare Analytics, Real-time Analytics, Snowflake, data security, scalability

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