CLOUD-BASED DATA INTEGRATION: BUILDING SCALABLE AND EFFICIENT ARCHITECTURES
Keywords:
Cloud Data Integration, Microservices Architecture, Real-time Data Processing, Data Governance, Cloud-Native ToolsAbstract
Cloud-based data integration has emerged as a transformative solution for organizations grappling with the challenges of managing and integrating data from diverse sources in an increasingly complex digital landscape. This article explores the evolution, benefits, and architectural best practices of cloud-based data integration systems. The article examines how cloud platforms have revolutionized traditional integration approaches, offering unprecedented scalability, global accessibility, and cost optimization benefits. In this article industry trends and implementation patterns highlight the significant impact of microservices architectures, cloud-native tools, and real-time processing capabilities on integration success. The article also addresses common challenges such as data silos, performance optimization, and security considerations, providing evidence-based solutions and frameworks for implementation. Furthermore, the article investigates emerging trends and future directions in cloud integration, particularly focusing on the role of artificial intelligence and advanced automation in shaping next-generation integration solutions.
References
David Ramel, “Gartner on Data Integration Market: Cloud Giants Down, AI Up,” 12/12/24, Available: https://thejournal.com/Articles/2024/12/12/Gartner-on-Data-Integration-Market-Cloud-Giants-Down-AI-Up.aspx
Mahaboob Subhani Shaik, “CLOUD INTEGRATION PLATFORMS AS A SERVICE (iPaaS) AND AUTOMATION: A TECHNICAL OVERVIEW,” Volume 15, Issue 6, Nov-Dec 2024, Available: https://iaeme.com/MasterAdmin/Journal_uploads/IJCET/VOLUME_15_ISSUE_6/IJCET_15_06_098.pdf
Rajesh Kumar Srirangam, “The Growing Trend of Cloud-Based Data Integration and Warehousing,” October 2024, Available: https://www.researchgate.net/publication/384949337_The_Growing_Trend_of_Cloud-Based_Data_Integration_and_Warehousing
ANANDKUMAR CHENNUPATI, “Challenges And Best Practices in Multi Cloud Migration for Enterprises,” OCT 2023, Available: https://www.irejournals.com/formatedpaper/1705096.pdf
Nelson Mimura Gonzalez, et al, “A Quantitative Analysis of Current Security Concerns and Solutions for Cloud Computing,” November 2011, Available: https://www.researchgate.net/publication/221276531_A_Quantitative_Analysis_of_Current_Security_Concerns_and_Solutions_for_Cloud_Computing
Nelson Mimura Gonzalez, et al, “A Quantitative Analysis of Current Security Concerns and Solutions for Cloud Computing,” November 2011, Available: https://www.researchgate.net/publication/221276531_A_Quantitative_Analysis_of_Current_Security_Concerns_and_Solutions_for_Cloud_Computing
Mohammad S. Aslanpour, Sukhpal Singh Gill, Adel N. Toosi, “Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research,” Internet of Things, Volume 12, December 2020, 100273, Available: https://www.sciencedirect.com/science/article/abs/pii/S2542660520301062
Srinivas Chippagiri, Preethi Ravula, “Cloud-Native Development: Review of Best Practices and Frameworks for Scalable and Resilient Web Applications,” July 2021, Available: https://www.researchgate.net/publication/387700780_Cloud-Native_Development_Review_of_Best_Practices_and_Frameworks_for_Scalable_and_Resilient_Web_Applications
Sai Manish Podduturi, “SCALABLE MICROSERVICES FOR REAL-TIME BIG DATA PROCESSING IN THE CLOUD,” Volume 7, Issue 2, July-December 2024, Available: https://iaeme.com/Home/article_id/IJRCAIT_07_02_163
Bazeer Ahamed Bagrudeen, T. Ramkumar, “Data Integration - Challenges, Techniques and Future Directions: A Comprehensive Study,” November 2016, Available: https://www.researchgate.net/publication/311496522_Data_Integration_-_Challenges_Techniques_and_Future_Directions_A_Comprehensive_Study
