Sustainable Big Data Pipelines: Architectures, Energy Optimization, and Ethical Governance
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Beschreibung
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.
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.
Explores a novel convergence between big data systems, sustainability, and ethics Moves beyond speed and scale to address energy use, privacy, data retention, and regulatory compliance Helps organizations and developers embrace responsible data future through practical frameworks and monitoring tools
Autor*in
Jaheer Mukthar K.P
Themen in »Sustainable Big Data Pipelines: Architectures, Energy Optimization, and Ethical Governance«
Green Data Pipelines Energy-aware Computing Ethical Data Governance Federated Learning Big Data Sustainability Carbon-Aware Scheduling Privacy-Preserving Big Data ESG Analytics Responsible AI Systems Sustainable Data Architecture Edge Analytics Circular Economy in ICT Sustainable Cloud Computing