Revolutionizing Data Integration: The Impact of AI and Real-Time Technologies on Modern Data Engineering Efficiency and Effectiveness

Venkata Tadi

Abstract: In an era where data drives critical business decisions, the integration of artificial intelligence (AI) and real-time data technologies has the potential to transform traditional data engineering practices. This study investigates the impact of these emerging technologies on the efficiency and effectiveness of data integration processes. Through a comprehensive analysis of real-world case studies and empirical data, this research highlights how AI and real-time integration streamline data flows, enhance data quality, and accelerate processing times. Key challenges, such as compatibility issues and security concerns, are explored alongside innovative solutions and industry best practices. The findings underscore the strategic importance of adopting AI and real-time technologies, providing a roadmap for organizations to optimize their data engineering strategies and maintain a competitive edge in a data-driven landscape. This study positions these technologies not just as technical enhancements but as revolutionary enablers of modern data integration, essential for the sustained success of businesses in the digital age.

Keywords: AI, real-time data integration, data quality, scalability, interoperability, predictive analytics, data governance

How to Cite?: Venkata Tadi, "Revolutionizing Data Integration: The Impact of AI and Real-Time Technologies on Modern Data Engineering Efficiency and Effectiveness", Volume 10 Issue 8, August 2021, International Journal of Science and Research (IJSR), Pages: 1278-1289, https://www.ijsr.net/getabstract.php?paperid=SR24709210525, DOI: https://dx.doi.org/10.21275/SR24709210525