As data volumes grow exponentially, the challenge is no longer limited to speed and scalability—but to sustainability and responsibility. Sustainable Big Data Pipelines: Architectures, Energy Optimization, and Ethical Governance presents a forward-looking exploration of how modern big data systems can be designed and operated with environmental efficiency, ethical integrity, and regulatory awareness at their core. Edited by leading scholars Jaheer Mukthar K.P and Sang-Bing Tsai, this volume brings together interdisciplinary research and practical insights on energy-efficient data architectures, green computing strategies, privacy-preserving analytics, ethical data governance, and compliance with global regulations. The book bridges theory and practice by offering actionable frameworks, monitoring approaches, and real-world use cases that guide organizations toward responsible data-driven innovation. Designed for researchers, practitioners, policymakers, and graduate students, this book serves as a critical resource for building big data pipelines that not only perform at scale but also align with sustainability goals and societal values.