Products related to Data:
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Fashion and Environmental Sustainability : Entrepreneurship, Innovation and Technology
The wide range of topics that the book covers are organised into sections reflecting a cradle to grave view of how entrepreneurial, innovative, and tech-savvy approaches can advance environmental sustainability in the fashion sector.These sections include: sustainable materials; innovation in design, range planning and product development; sustainable innovations in fashion supply chains; sustainable innovations in fashion retail and marketing; sustainable alternatives for end-of-life and circular economy initiatives; and more sustainable alternative fashion business models.
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Data Science Applied to Sustainability Analysis
Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis.As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions.In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas.
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The Enterprise Data Catalog : Improve Data Discovery, Ensure Data Governance, and Enable Innovation
Combing the web is simple, but how do you search for data at work?It's difficult and time-consuming, and can sometimes seem impossible.This book introduces a practical solution: the data catalog.Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance. Author Ole Olesen-Bagneux explains the benefits of implementing a data catalog.You'll learn how to organize data for your catalog, search for what you need, and manage data within the catalog.Written from a data management perspective and from a library and information science perspective, this book helps you:Learn what a data catalog is and how it can help your organizationOrganize data and its sources into domains and describe them with metadataSearch data using very simple-to-complex search techniques and learn to browse in domains, data lineage, and graphsManage the data in your company via a data catalogImplement a data catalog in a way that exactly matches the strategic priorities of your organizationUnderstand what the future has in store for data catalogs
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Innovation in Energy Security and Long-Term Energy Efficiency
The sustainable development of our planet depends on the use of energy. The growing population of the world inevitably causes an increase in the demand for energy, which, on the one hand, threatens the potential for shortages of energy supply, and, on the other hand, causes the deterioration of the environment.Therefore, our task is to reduce this demand through different innovative solutions (i.e., both technological and social). Social marketing and economic policies can also play a role in affecting the behavior of households and companies, by causing behavioral change oriented to energy stewardship, and an overall switch to renewable energy resources. This book provides a platform for the exchange of a wide range of ideas, which, ultimately, would facilitate the driving of societies to long-term energy efficiency.
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What is the difference between data integration and data consolidation?
Data integration involves combining data from different sources and formats into a single, unified view. This process ensures that the data is consistent and can be easily accessed and analyzed. On the other hand, data consolidation involves gathering data from different sources and storing it in a centralized location. This process helps to eliminate data silos and provides a single source of truth for the organization. In summary, data integration focuses on combining data for analysis and usage, while data consolidation focuses on centralizing data storage.
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What is the question about data protection and data security?
The question about data protection and data security revolves around how organizations can safeguard sensitive information from unauthorized access, breaches, and cyber threats. It also involves ensuring compliance with data protection regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Additionally, the question may address best practices for data encryption, access controls, regular security audits, and incident response plans to mitigate risks and protect data integrity.
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What is the difference between data protection and data security?
Data protection refers to the policies and procedures put in place to ensure that personal data is handled in compliance with privacy laws and regulations. This includes obtaining consent for data collection, limiting access to personal information, and ensuring data is accurate and up to date. On the other hand, data security focuses on protecting data from unauthorized access, use, or destruction. This includes measures such as encryption, firewalls, and access controls to prevent data breaches and cyber attacks. In summary, data protection is about the legal and ethical handling of personal data, while data security is about the technical measures used to protect that data from unauthorized access or misuse.
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What are examples of data security?
Examples of data security measures include encryption, which involves converting data into a code that can only be accessed with the correct key; access controls, which limit who can view or modify data; firewalls, which protect networks from unauthorized access; and regular data backups to ensure that information can be restored in the event of a security breach or data loss. Additionally, strong password policies, multi-factor authentication, and security training for employees are also important components of data security.
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Communication Principles for Data Science
This book introduces the basic principles underlying the design and analysis of the digital communication systems that have heralded the information revolution.One major goal of the book is to demonstrate the role of the digital communication principles in a wide variety of data science applications, including community detection, computational biology, speech recognition and machine learning.One defining feature of this book is to make an explicit connection between the communication principles and data science problems, as well as to succinctly deliver the “story” of how the communication principles play a role for trending data science applications.All the key “plots” involved in the story are coherently developed with the help of tightly coupled exercise problem sets, and the associated fundamentals are explored mostly from first principles.Another key feature is that it includes programming implementation of a variety of algorithms inspired by fundamentals, together with a brief tutorial of the used programming tools.The implementation is based on Python and TensorFlow.This book does not follow a traditional book-style organization, but is streamlined via a series of lecture notes that are intimately related, centered around coherent storylines and themes.It serves as a textbook mainly for a junior- or senior-level undergraduate course, yet is also suitable for a first-year graduate course.Readers benefit from having a good background in probability and random processes, and basic familiarity with Python.But the background can be supplemented by almost self-contained materials, as well as by numerous exercise problems intended for elaborating on non-trivial concepts.In addition, Part III for data science applications should provide motivation and insights to students and even professional scientists who are interested in the field.
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Network Security and Data Privacy in 6G Communication : Trends, Challenges, and Applications
This book proposes robust solutions for securing a network against intrusions for data privacy and safety.It includes theoretical models, commercialization of validated models, and case studies. Explains the integration of technologies such as artificial intelligence, the Internet of Things, and blockchain for network security in a 6G communication system. Highlights the challenges such as spectrum allocation and management, network architecture and heterogeneity, energy efficiency and sustainability, antenna, and radio frequency. Discuss theories like quantum-safe cryptography, zero-trust networking, and blockchain-based trust management. Covers emerging technologies including homomorphic encryption, secure multi-party computation, post-quantum cryptography, and distributed ledger technology for security and privacy in 6G communication systems. Presents light and deep secure algorithms to detect fake incidents in wireless communication. The text is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, and computer science.
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Smart Green World? : Making Digitalization Work for Sustainability
In this book, Steffen Lange and Tilman Santarius investigate how digitalization influences environmental and social sustainability.The information revolution is currently changing the daily lives of billions of people worldwide.At the same time, the current economic model and consumerist lifestyle needs to be radically transformed if society is to overcome the challenges humanity is facing on a finite planet.Can the much-discussed disruption potential of digitalization be harnessed for this purpose?Smart Green World? provides guiding principles for a sustainable digital society and develops numerous hands-on proposals for how digitalization can be shaped to become a driving force for social transformation.For instance, the authors explain why more digitalization is needed to realize the transition towards 100% renewable energy and show how this can be achieved without sacrificing privacy.They analyze how the information revolution can transform consumption patterns, mobility habits and industry structures – instead of fostering the consumption of unneeded stuff due to personalized commercials and the acceleration of life.The authors reveal how Artificial Intelligence and the Industrial Internet of Things pose novel environmental challenges and contribute to a polarization of income; but they also demonstrate how the internet can be restored to its status as a commons, with users taking priority and society at large reaping the benefits of technological change in a most democratic way. Providing a comprehensive and practical assessment of both social and environmental opportunities and challenges of digitalization, Smart Green World?Making Digitalization Work for Sustainability will be of great interest to all those studying the complex interrelationship of the twenty-first-century megatrends of digitalization and decarbonization.
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Navigating Sustainability Data : How Organizations can use ESG Data to Secure Their Future
With sustainability now a fundamental strategic pillar for organizations, ESG metrics are vital for decision making, yet this data is complex and ever evolving. Navigating Sustainability Data provides a focused guide for leaders and executives who want to understand how sustainability impacts a company's future and how they can use data as a key tool to facilitate growth, access to capital and meet regulatory requirements.It explores what data is required to make decisions that directly affect the company's valuation and helps leadership teams decide what data points they need to be preparing for their boards to support the organization's financial, strategic and reputational future. Showing how leaders can move from measuring data to managing future organizational risks and rewards, the book explores how to use the right data for the appropriate situation to drive efficient sustainable business decisions.It explains ESG data in plain English and highlights what data is relevant to leaders; what investors consider as essential data; and how regulation, disclosure and transparency are on a rapidly changing journey.Navigating Sustainability Data holds the information you need to avoid greenwashing, to shape your role in the sustainability landscape, and to be a leader for the future.
Price: 34.99 £ | Shipping*: 0.00 £
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What is data protection and security?
Data protection and security refer to the measures and practices put in place to safeguard data from unauthorized access, use, or disclosure. This includes protecting data from cyber threats such as hacking, malware, and phishing attacks, as well as ensuring compliance with privacy regulations and laws. Data protection and security also involve implementing encryption, access controls, and regular data backups to prevent data loss and maintain the integrity of sensitive information. Overall, data protection and security are essential for maintaining the confidentiality, integrity, and availability of data.
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What does digitalization have to do with data locuta causa finita?
Digitalization plays a significant role in the concept of data locuta causa finita, which means "the data has spoken, the case is closed." Through digitalization, vast amounts of data can be collected, analyzed, and used to make informed decisions. This data-driven approach allows for more accurate and efficient decision-making processes, leading to quicker resolutions and closure of cases. In essence, digitalization enables the data to speak for itself, providing conclusive evidence or insights that help in closing the case.
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What does digitalization have to do with "data locuta causa finita"?
Digitalization is closely related to the concept of "data locuta causa finita" as it emphasizes the importance of data-driven decision-making. In a digitalized world, vast amounts of data are collected, analyzed, and used to inform and support decision-making processes. This data-driven approach aligns with the idea that once the data speaks, the discussion is settled, reflecting the notion that decisions should be based on factual evidence rather than subjective opinions. Therefore, digitalization enhances the application of "data locuta causa finita" by providing a wealth of data to support and validate decisions.
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What is data security and backup for WhatsApp?
Data security and backup for WhatsApp refers to the measures in place to protect user data and ensure that it can be recovered in case of loss or damage. This includes end-to-end encryption for messages, which ensures that only the sender and recipient can read the messages, as well as secure storage of media and other files shared on the platform. Additionally, WhatsApp provides the option for users to back up their chat history and media to a cloud service, such as Google Drive or iCloud, to prevent data loss in the event of a device failure or loss.
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