Computer science and information technology
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Scalable ETL Processes in Azure Data Factory: Best Practices for Data Engineers
Swathi Garudasu1, Sandhyarani Ganipaneni2, Rajas Paresh Kshirsagar3, Om Goel4, Prof. (Dr.) Arpit Jain5, Prof. (Dr) Punit Goel6 1Symbiosis Center for Distance Learning, Pune, India, 2 Scholar, Jawaharlal Nehru Technological University, Hyderabad, Telangana, India – 500081, 3N.Y.…
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Managing Complex Discount Structures Using SAP Pricing Modules
Krishna Kishor Tirupati, International Institute of Information Technology Bangalore , Abstract Managing complex discount structures is critical for companies to remain competitive and boost customer retention. This study focuses on leveraging SAP pricing modules to handle…
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Best Practices in Cloud Migration for Oracle EBS Clients Transitioning to Cloud-Based Solutions
Prof.(Dr.) Arpit Jain KL University Vijayawada, Andhra Pradesh, India Abstract The migration of Oracle E-Business Suite (EBS) to cloud-based platforms has become a key objective for businesses aiming to enhance operational efficiency, scalability, and cost-effectiveness. As…
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Agile Methodologies for Managing Large-Scale Oracle HCM Implementations
The implementation of Oracle Human Capital Management (HCM) systems in large organizations presents significant challenges due to the complexity of the software, the scale of deployment, and the need to adapt to fast-changing business requirements. Traditional…
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Best Practices for Data Security and Compliance in Cloud-Based Systems
Raja Kumar Kolli Wright State University, CO, 80104, USA, Abstract As organizations increasingly adopt cloud computing, ensuring data security and compliance with regulatory standards has become a critical concern. This paper explores best practices for data…
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Optimizing Cloud Infrastructure with Edge Computing for Latency Reduction
Pattabi Rama Rao Thumati Pondicherry University, India, Abstract The rapid growth of cloud computing and the increasing demand for low-latency applications necessitate the exploration of innovative solutions to enhance system performance. This manuscript investigates the integration…
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Predictive Models for Power Outage Management using Machine Learning Pipelines
Power outages can have significant social, economic, and operational impacts. Predictive models driven by machine learning (ML) can improve outage management by identifying risks and patterns from historical data and environmental factors. This manuscript explores a…
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Pricing Optimization in SAP: The Role of Machine Learning and Predictive Analytics
Pricing optimization is crucial for enterprises striving to stay competitive and profitable in dynamic markets. SAP systems, known for streamlining business processes, are increasingly integrating advanced technologies like machine learning (ML) and predictive analytics to enhance…
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AI-Enhanced Resource Allocation for Energy-Efficient Event-Driven Systems
In today’s hyperconnected world, event-driven systems are widely adopted across multiple sectors for real-time processing. Efficient energy consumption is becoming a critical design concern for such systems, especially with the exponential growth in events and the…
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Optimization of Cloud Service Deployment Across Multicloud Platforms
Niharika Singh ABES Engineering College Crossings Republik, Ghaziabad, Uttar Pradesh 201009, India Abstract— Cloud computing has become an essential part of modern IT infrastructure, with organizations increasingly relying on cloud service providers (CSPs) for scalability, flexibility,…