DATA ENGINEERING: TRANSFORMING EDUCATION AND WORKFORCE DEVELOPMENT IN THE DIGITAL AGE
Keywords:
Data Engineering Education, Workforce Development, Technical Skills Integration, Data Literacy, Cloud-Based LearningAbstract
This thorough article investigates how workforce development and data engineering education are changing in the digital era. It looks at how data engineering education is changing and emphasizes how important it is for courses to build both technical and soft skills. The democratization of data literacy at various educational levels—from K–12 integration to community-based learning initiatives—is examined in this article. It examines current workforce development tactics, such as reskilling pathways and upskilling programs, and discusses implementation issues and potential fixes. The article also looks at new developments in data engineering education, highlighting the increased significance of practical experience, modular learning strategies, and AI/ML integration. It offers important insights into training the upcoming generation of data engineering experts through a thorough examination of industry collaborations, educational frameworks, and future goals.
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