Overview

In today s digital landscape, data governance, DevSecOps, and advancements in modern software development have become critical in secure and efficient technology ecosystems. As organizations rely on large amounts of data and sophisticated software systems to drive innovation and business success, the need for improved frameworks to manage, protect, and optimize this data increases. Data governance ensures data is accurate, secure, and compliant with regulations, while DevSecOps, an integrated approach to development, security, and operations, empowers teams to build, test, and utilize software with security embedded through its lifecycle. Along with the latest advancements in modern software technologies, these concepts form the foundation for building resilient, secure, and scalable applications. The intersection of these practices shapes the future of how software is developed, deployed, and governed, and further research may provide both opportunities and challenges for connection. Data Governance, DevSecOps, and Advancements in Modern Software explores the integration of key technologies and methodologies that define the modern digital landscape, with a focus on DataOps, DevSecOps, data governance, and software architecture. It provides a comprehensive guide to managing data workflows and enhancing operational efficiency while embedding security at every stage of the development lifecycle. This book covers topics such as data science, artificial intelligence, and resilient systems, and is a useful resource for data scientists, engineers, software developers, business owners, researchers, and academicians.

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Bahaa Eddine Elbaghazaoui is a professor at ENSA Beni Mellal and a PhD holder in Computer Science and Artificial Intelligence. With extensive experience in software engineering, he specializes in full-stack development, microservices, AI integration, and cloud computing. As a project manager and trainer, he has led and contributed to innovative solutions in telecommunications, insurance, and government sectors. His research focuses on data profiling and predictive analytics, with numerous publications in high-impact journals. Passionate about technology and education, he actively mentors, reviews scientific work, and advances cutting-edge software solutions. He can be reached at elbaghazaoui.bahaa@gmail.com and b.elbaghazaoui@usms.as.ma. Mohamed Amnai is a Full Professor at the Faculty of Sciences, Ibn Tofail University, specializing in Computer Science and Telecommunications. With a Ph.D. in Quality of Service Management and Mobility Control in Ad Hoc Networks, his expertise spans big data, AI-driven decision support systems, machine learning, and network security. Dr. Amnai has contributed extensively to academia as a researcher, supervisor, and journal reviewer, with numerous publications in high-impact journals and conferences. His work focuses on advancing AI applications in data profiling, recommendation systems, and network optimization. He can be reached at mohamed.amnai@uit.ac.ma. Noreddine Gherabi is an Full Professor of Computer Science at ENSA Khouribga, Sultan Moulay Slimane University. With a Ph.D. in Database Migration and Semantic Web, he specializes in data science, artificial intelligence, semantic technologies, and cybersecurity. He has led significant research on machine learning, recommendation systems, and big data integration, contributing to high-impact publications, books, and conferences. Dr. Gherabi is actively involved in academic leadership, Ph.D. supervision, and scientific committees worldwide. He can be reached at n.gherabi@usms.ma and gherabi@gmail.com.

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