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Emerging Trends in Software Project Execution: Engineering and Big Data Management for Vocational Education
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Author(s): Manu Mishra (HCL Technologies, USA), Padma Rama Divya Achanta (CDW, USA), Nitin Grover (Independent Researcher, USA), Ravi Chourasia (Capital One Services,USA)and Shalini Sivasamy (Webster Bank, USA)
Copyright: 2025
Pages: 16
Source title:
Integrating AI and Sustainability in Technical and Vocational Education and Training (TVET)
Source Author(s)/Editor(s): Ali Sorayyaei Azar (University of Malaya, Malaysia), Shashi Kant Gupta (Eudoxia Research University, USA), Hamed Taherdoost (Department of Arts, University Canada West, Canada & GUS Institute, Global University Systems, UK & College of Technology and Engineering, Westcliff University, USA & Gisma University of Applied Sciences, Germany & Q Minded, Quark Minded Technology, Canada & Research and Development Department, Hamta Business Corporation, Canada)and Fahima Alhamaty (Harvard Business Review, Kuwait)
DOI: 10.4018/979-8-3373-1142-5.ch013
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Abstract
The rapid evolution of software engineering and big data management has significantly influenced vocational education, equipping learners with industry-relevant skills. This chapter explores emerging trends in software project execution, emphasizing agile methodologies, DevOps practices, and AI-driven automation. Additionally, it delves into the role of big data in decision-making, cloud computing, and scalable data architectures tailored for vocational training. The integration of these technologies enhances hands-on learning, fosters innovation, and bridges the skill gap between academia and industry. By examining case studies and best practices, this chapter provides a roadmap for effectively incorporating modern software engineering principles and big data strategies into vocational education.
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