Sustainable Data Management

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Sustainable Data Management
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Author : Reem Khamis Hamdan
language : en
Publisher: Springer Nature
Release Date : 2025-04-28
Sustainable Data Management written by Reem Khamis Hamdan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-28 with Computers categories.
This book dives deeper into the dynamic world of data and technology with the Sustainable Data Management and explores advanced strategies and innovative approaches to harnessing big data, leveraging communication technology, and mastering digital leadership in today's evolving business landscape. Uncover insights and techniques that propel readers organization towards sustainable success in the digital age.
Sustainable Data Management
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Author : Reem Khamis Hamdan
language : en
Publisher: Springer Nature
Release Date : 2025-04-16
Sustainable Data Management written by Reem Khamis Hamdan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Computers categories.
This book dives into a new world of data and technology with the groundbreaking Sustainable Data Management, immerses readers in the realm of big data, and explores how digital technology can revolutionize business leadership. Discover how this book can guide readers through the deep waters of sustainable and efficient data management.
Handbook Of Sustainability Driven Business Strategies In Practice
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Author : Markovic, Stefan
language : en
Publisher: Edward Elgar Publishing
Release Date : 2021-12-07
Handbook Of Sustainability Driven Business Strategies In Practice written by Markovic, Stefan and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-07 with Business & Economics categories.
Sustainability is a top priority for organizations and a key strategy in corporate agendas, but the effective deployment of any strategy demands that the strategy is consistent, functional, and aligned. This Handbook advocates sustainability strategies that encompass environmental, social, and economic dimensions at department-level.
Sustainable Operations Management
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Author : Andrea Chiarini
language : en
Publisher: Springer
Release Date : 2015-01-06
Sustainable Operations Management written by Andrea Chiarini and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-06 with Business & Economics categories.
This book presents innovative research on various aspects of sustainability in the field of operations management and illustrates the potential of sustainability thinking and practice to improve operations performance and thereby meet customer needs. Particular attention is devoted to corporate social responsibility and marketing strategy, knowledge management for sustainability, the role of culture in a sustainable built environment, sustainable manufacturing through the application of lean and green concepts, advancing sustainability through ISO standards, and the sustainable supply chain. The present decade is proving to be a time of change in terms of business strategies and operations management. Many of the trends are still subject to uncertainty, but an understanding of the need for, and benefits of, sustainability can give a clear indication of their trajectory. Consumers and markets in general believe that while implementing their business strategies, companies should also try to improve society and the environment and to exercise social responsibility toward their employees. This book provides insights into how this may be achieved, and it is recommended for researchers as well as all practitioners and managers dedicated to enhancing sustainability in operations.
Computational Intelligent Data Analysis For Sustainable Development
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Author : Ting Yu
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Computational Intelligent Data Analysis For Sustainable Development written by Ting Yu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Business & Economics categories.
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development presents novel methodologies for automatically processing these types of data to support rational decision making for sustainable development. Through numerous case studies and applications, it illustrates important data analysis methods, including mathematical optimization, machine learning, signal processing, and temporal and spatial analysis, for quantifying and describing sustainable development problems. With a focus on integrated sustainability analysis, the book presents a large-scale quadratic programming algorithm to expand high-resolution input-output tables from the national scale to the multinational scale to measure the carbon footprint of the entire trade supply chain. It also quantifies the error or dispersion between different reclassification and aggregation schemas, revealing that aggregation errors have a high concentration over specific regions and sectors. The book summarizes the latest contributions of the data analysis community to climate change research. A profuse amount of climate data of various types is available, providing a rich and fertile playground for future data mining and machine learning research. The book also pays special attention to several critical challenges in the science of climate extremes that are not handled by the current generation of climate models. It discusses potential conceptual and methodological directions to build a close integration between physical understanding, or physics-based modeling, and data-driven insights. The book then covers the conservation of species and ecologically valuable land. A case study on the Pennsylvania Dirt and Gravel Roads Program demonstrates that multiple-objective linear programming is a more versatile and efficient approach than the widely used benefit targeting selection process. Moving on to renewable energy and the need for smart grids, the book explores how the ongoing transformation to a sustainable energy system of renewable sources leads to a paradigm shift from demand-driven generation to generation-driven demand. It shows how to maximize renewable energy as electricity by building a supergrid or mixing renewable sources with demand management and storage. It also presents intelligent data analysis for real-time detection of disruptive events from power system frequency data collected using an existing Internet-based frequency monitoring network as well as evaluates a set of computationally intelligent techniques for long-term wind resource assessment. In addition, the book gives an example of how temporal and spatial data analysis tools are used to gather knowledge about behavioral data and address important social problems such as criminal offenses. It also applies constraint logic programming to a planning problem: the environmental and social impact assessment of the regional energy plan of the Emilia-Romagna region of Italy. Sustainable development problems, such as global warming, resource shortages, global species loss, and pollution, push researchers to create powerful data analysis approaches that analysts can then use to gain insight into these issues to support rational decision making. This volume shows both the data analysis and sustainable development communities how to use intelligent data analysis tools to address practical problems and encourages researchers to develop better methods.
Sustainable Cloud Development
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Author : Parth Girish Patel
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-03-28
Sustainable Cloud Development written by Parth Girish Patel and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-28 with Computers categories.
Reduce cloud costs and carbon footprint with sustainable design, GenAI, and green architecture principles Key Features Discover sustainable cloud practices, including carbon footprint analysis, optimization, and security Explore best practices, insights, and case studies for implementing sustainable solutions like generative AI workloads Learn cost-saving strategies through efficient resource use and business alignment Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWritten by three seasoned AWS solution architects, sustainability mentors, and thought leaders, Sustainable Cloud Development equips cloud professionals with actionable strategies to design, build, and optimize workloads that minimize environmental impact, while maintaining performance and scalability. This book combines practical insights, best practices, and case studies to help you align your cloud operations with global sustainability goals. From foundational concepts such as carbon footprint measurement to advanced techniques such as sustainable software architecture, generative AI lifecycle optimization, and cost-efficient cloud practices, this book covers every aspect of sustainable cloud development. You’ll get to grips with key tools, including AWS Cost Explorer, for analyzing costs and usage over time to right-size deployments; auto scaling for automatically scaling compute resources dynamically based on demand; Amazon Trusted Advisor for reviewing optimization recommendations across critical areas such as cost, performance, and security; and Amazon CloudWatch for detailed monitoring and threshold-based alerting around all resources and applications. This book serves as a practical blueprint for optimizing your cloud workloads for both high performance and a minimal environmental footprint.What you will learn Explore the principles of sustainable cloud computing and application performance analysis Discover best practices for data lifecycle management, storage optimization, and networking efficiency Understand and analyze the carbon footprint of cloud applications Implement sustainable software architecture and coding patterns Optimize the lifecycle and consumption of generative AI models Align cloud services with sustainability goals and global regulations Explore eco-friendly generative AI practices, including efficient model deployment Who this book is for This book is for cloud architects, engineers, DevOps professionals, and IT sustainability specialists who want to align their cloud practices with environmental goals. It also caters to software developers eager to build green, efficient solutions. A basic understanding of cloud services and IT infrastructure is necessary.
The Open Handbook Of Linguistic Data Management
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Author : Andrea L. Berez-Kroeker
language : en
Publisher: MIT Press
Release Date : 2022-01-18
The Open Handbook Of Linguistic Data Management written by Andrea L. Berez-Kroeker and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-18 with Language Arts & Disciplines categories.
A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data. "Doing language science" depends on collecting, transcribing, annotating, analyzing, storing, and sharing linguistic research data. This volume offers a guide to linguistic data management, engaging with current trends toward the transformation of linguistics into a more data-driven and reproducible scientific endeavor. It offers both principles and methods, presenting the conceptual foundations of linguistic data management and a series of case studies, each of which demonstrates a concrete application of abstract principles in a current practice. In part 1, contributors bring together knowledge from information science, archiving, and data stewardship relevant to linguistic data management. Topics covered include implementation principles, archiving data, finding and using datasets, and the valuation of time and effort involved in data management. Part 2 presents snapshots of practices across various subfields, with each chapter presenting a unique data management project with generalizable guidance for researchers. The Open Handbook of Linguistic Data Management is an essential addition to the toolkit of every linguist, guiding researchers toward making their data FAIR: Findable, Accessible, Interoperable, and Reusable.
Big Data Science And Analytics For Smart Sustainable Urbanism
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Author : Simon Elias Bibri
language : en
Publisher:
Release Date : 2019
Big Data Science And Analytics For Smart Sustainable Urbanism written by Simon Elias Bibri and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Big data categories.
We are living at the dawn of what has been termed 'the fourth paradigm of science, ' a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power-manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data-intensive science and its application, particularly in relation to sustainability.
Data Management At Scale
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Author : Piethein Strengholt
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-07-29
Data Management At Scale written by Piethein Strengholt and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-29 with Computers categories.
As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
Sustainable Value Chain Management
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Author : Michael D'heur
language : en
Publisher: Springer
Release Date : 2015-02-28
Sustainable Value Chain Management written by Michael D'heur and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-28 with Business & Economics categories.
This book introduces the integrated management concept of "Sustainable Value Creation", which delivers sustainability ‘inside-out’ from the core business. It is based on the premise that sustainability can provide a platform for growth, if it is implemented in a company’s products, services and supply chains (combined also known as the 'Value Chain'). Managing the Value Chain from the outset with a sustainability mindset subsequently allows profitable economical, ecological and societal growth. It combines the need for increased sustainability and its implementation in the operations of a company. The book addresses the following issues: How do economic, environmental and societal factors impact the value-creation process of a company? What requirements and expectations need to be met to balance economic, ecologic and societal value creation? What are the building blocks and measures that can be utilized on the journey towards building a sustainable value chain? What benefits can be achieved through sustainable value chains? What are the practical examples of sustainable value chains in leading companies that can inspire others to follow? The book includes contributions from the following organisations and companies: Beiersdorf, SAP, Klenk und Hoursch, VAUDE, Infineon Technologies, Independent Capital Management, BASF, Nanogate, the Federal German Council for Sustainable Development, Henkel, Symrise, shared.value.chain, Siemens, Fairphone and Thin Air Factory