Products related to Data:
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Innovation in Music: Technology and Creativity
Innovation in Music: Technology and Creativity is a groundbreaking collection bringing together contributions from instructors, researchers, and professionals.Split into two sections, covering composition and performance, and technology and innovation, this volume offers truly international perspectives on ever-evolving practices. Including chapters on audience interaction, dynamic music methods, AI, and live electronic performances, this is recommended reading for professionals, students, and researchers looking for global insights into the fields of music production, music business, and music technology.
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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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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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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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What is the diversity development field?
The diversity development field focuses on creating and promoting inclusive environments within organizations. It involves implementing strategies and programs to support diversity, equity, and inclusion, as well as addressing issues related to bias, discrimination, and inequality. This field also encompasses training, education, and advocacy efforts to foster a culture of respect and belonging for individuals from diverse backgrounds. Overall, the diversity development field aims to create positive and equitable experiences for all members of an organization.
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What is sensor technology and communication?
Sensor technology refers to the use of sensors to detect and measure physical properties such as temperature, pressure, light, and motion. These sensors can then communicate this information to other devices or systems through various communication methods such as wired connections, wireless signals, or the internet. This allows for real-time monitoring and control of physical environments, enabling applications in areas such as smart homes, industrial automation, healthcare, and environmental monitoring. Overall, sensor technology and communication play a crucial role in enabling the collection and transmission of data for various applications, ultimately leading to improved efficiency, safety, and convenience.
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Do active mobile data consume data volume?
Yes, active mobile data does consume data volume. When your mobile data is turned on and you are using apps, browsing the internet, streaming videos, or downloading files, data is being consumed from your data plan. It is important to monitor your data usage to avoid exceeding your data limit and potentially incurring extra charges from your mobile service provider.
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Do activated mobile data consume data volume?
Yes, activated mobile data does consume data volume. When mobile data is turned on, it allows your device to connect to the internet using your cellular network, and any data used during this connection will be deducted from your data plan. Activities such as browsing the web, streaming videos, or using apps that require an internet connection will all consume data volume when mobile data is activated. It's important to monitor your data usage to avoid exceeding your plan's limits and incurring additional charges.
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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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Disaster Resilience and Sustainability : Japan’s Urban Development and Social Capital
This book examines urban planning and infrastructure development in Japanese cities after the second world war as a way to mitigate the risks of disasters while pursuing sustainable development.It looks at the benefits of social capital and how communities organise to tackle problems during the recovery phase after a disaster.The book also illustrates with case studies to highlight community attitudes which improve recovery outcomes. The book underlines challenges such as ageing and depopulation which Japan would face should the next disaster occur.These demographic shifts are causing difficulties among neighbourhood associations at a time when communities need to effectively support each other.Nakanishi explains why overcoming these societal issues is imperative for sustainability and the need for a comprehensive approach which would integrate smart technology. This book will be of interest to scholars in city development and planning, urban studies and human geography, as well as those interested in building resilient communities.
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The Pepper Effect : Tap into the Magic of Creativity, Collaboration, and Innovation
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Innovation in Nephrology : Technology Development and Commercialization Handbook
Innovation in Nephrology: Technology Development and Commercialization Handbook is a step-by-step guide to nephrology technology innovation reflects recent trends of industry globalization and value-conscious healthcare.Written by a team of medical, engineering, and business experts, the authors provide a comprehensive resource that leads clinicians, students, researchers, and entrepreneurs through a clear process for the identification, invention, and implementation of new solutions.Case studies on innovative products from around the world, successes and failures, practical advice, and end-of-chapter 'Getting Started' sections encourage readers to learn from real projects and apply important lessons to their own work.In short, this book will be of interest to every nephrologist who has ever had a good idea for an invention but does not know where and how to start bringing it to the bedside.
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What are master data and transactional data?
Master data refers to the core data entities of an organization, such as customer, product, employee, and supplier information. This data is typically static and does not change frequently. Master data is used as a reference point for transactional data. On the other hand, transactional data refers to the detailed records of day-to-day business activities, such as sales orders, purchase orders, invoices, and payments. This data is dynamic and changes frequently as business transactions occur. Transactional data is used to track and record the specific activities and events within an organization.
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What is an example of communication technology?
One example of communication technology is email. Email allows individuals to send messages, documents, and media to others instantly over the internet. It is a widely used form of communication in both personal and professional settings, enabling quick and efficient exchange of information. Email also allows for the organization of messages into folders, the attachment of files, and the ability to communicate with multiple recipients simultaneously.
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What professions are there in the field of software development or data science?
Some professions in the field of software development include software engineer, software developer, front-end developer, back-end developer, and full-stack developer. In the field of data science, professions include data scientist, data analyst, data engineer, machine learning engineer, and business intelligence analyst. These professionals work with various programming languages, tools, and technologies to develop software applications, analyze data, and derive insights to drive business decisions.
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Is data volume the same as mobile data?
No, data volume and mobile data are not the same. Data volume refers to the amount of data being used or transferred, which can include various types of data such as text, images, videos, etc. On the other hand, mobile data specifically refers to the internet data that is used on a mobile device, typically through a cellular network. Mobile data is a subset of data volume, as data volume can also include data used on other devices or networks.
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