Data Integration Across Platforms: A Comprehensive Analysis of Techniques, Challenges, and Future Directions
Keywords:
Data integration, cross-platform, interoperability, semantic web, machine learning, big dataAbstract
In the age of big data and several information systems, data integration across platforms has become ever more important. The difficulties, approaches, and future paths of data integration across several platforms are investigated in this study article. We look at the state of data integration now, with regard to technological, organisational, and semantic issues. The current integration techniques, tools, and frameworks are systematically reviewed in this book. We also provide a fresh method of cross-platform data integration using cutting-edge technology that avoids typical problems. Our results imply that the efficiency and accuracy of data integration procedures may be much enhanced by means of semantic web technologies, machine learning, and distributed computing combined. The latter section of the article addresses possible uses in sectors like healthcare, finance, and smart cities as well as future lines of study.
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