Products related to Data:
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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 Analytics in Marketing, Entrepreneurship, and Innovation
Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences.Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics.It features case studies that provide realistic examples of applications.This multifaceted examination of data analytics looks at: Business analyticsApplying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analyticsDeveloping new productsTechnopreneurshipDisruptive versus incremental innovationThe book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing.Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery.Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques.Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.
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Data-Driven Innovation in the Creative Industries
The creative industries – the place where art, business, and technology meet in economic activity – have been hugely affected by the relatively recent digitalisation (and often monetisation) of work, home, relationships, and leisure.Such trends were accelerated by the global COVID-19 pandemic.This edited collection examines how the creative industries can be supported to make best use of opportunities in digital technology and data-driven innovation. Since digital markets and platforms are now essential for revenue generation and audience engagement, there is a vital need for improved data and digital skills in the creative and cultural sectors.Taking a necessarily global perspective, this book explores the challenges and opportunities of data-driven approaches to creativity in different contexts across the arts, cultural, and heritage sectors.Chapters reach beyond the platforms and approaches provided by the technology sector to delve into the collaborative work that supports innovation around the interdisciplinary and cross-sectoral issues that emerge where data infrastructures and approaches meet creativity. A novel intervention that uniquely centres the role of data in the theory and practice of creative industries’ innovation, this book is valuable reading for those researching and studying the creative economy as well for those who drive investment for the creative industries in a digitalised society. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 International license.
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Technology Ethics : Responsible Innovation and Design Strategies
Technologies cannot simply be understood as neutral tools or instruments; they embody the values of their creators and may unconsciously reinforce existing inequalities and biases. Technology Ethics shows how responsible innovation can be achieved.Demonstrating how design and philosophy converge, the book delves into the intricate narratives that shape our understanding of technology – from instrumentalist views to social constructivism.Yet, at its core, it champions interactionalism as the most promising and responsible narrative.Through compelling examples and actionable tools this book unravels the nuances of these philosophical positions, and is tailored to foster responsible innovation and thoughtful design.As our everyday lives further intertwine with technology, understanding and implementing these design principles becomes not just beneficial, but essential. This concise and accessible introduction is essential reading for students and scholars of philosophy of technology, engineering ethics, science and technology studies, and human–machine communication, as well as policymakers.
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What are the components of file data in electronics and radio?
The components of file data in electronics and radio include the actual data being transmitted or stored, such as audio, video, or text. Additionally, there is metadata, which provides information about the file, such as its size, format, and creation date. Error correction codes are also important components, as they help ensure the accuracy of the data being transmitted or stored. Finally, there may be encryption or compression applied to the file data to protect it or reduce its size for more efficient transmission or storage.
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What is the price for a complete gaming PC including gadgets and accessories?
The price for a complete gaming PC including gadgets and accessories can vary widely depending on the specific components and accessories chosen. A basic gaming PC with mid-range components and essential accessories like a keyboard, mouse, and headset can start at around $800-$1000. However, for a high-end gaming PC with top-of-the-line components, high-resolution monitors, gaming chairs, and other premium accessories, the price can exceed $3000-$4000. It ultimately depends on the individual's budget and preferences for gaming equipment.
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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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Technology Ethics : Responsible Innovation and Design Strategies
Technologies cannot simply be understood as neutral tools or instruments; they embody the values of their creators and may unconsciously reinforce existing inequalities and biases. Technology Ethics shows how responsible innovation can be achieved.Demonstrating how design and philosophy converge, the book delves into the intricate narratives that shape our understanding of technology – from instrumentalist views to social constructivism.Yet, at its core, it champions interactionalism as the most promising and responsible narrative.Through compelling examples and actionable tools this book unravels the nuances of these philosophical positions, and is tailored to foster responsible innovation and thoughtful design.As our everyday lives further intertwine with technology, understanding and implementing these design principles becomes not just beneficial, but essential. This concise and accessible introduction is essential reading for students and scholars of philosophy of technology, engineering ethics, science and technology studies, and human–machine communication, as well as policymakers.
Price: 14.99 £ | Shipping*: 3.99 £ -
Data Dating : Love, Technology, Desire
What does it mean to love with technology? Does data improve our emotional interactions? The collection approaches the query with critical essays and works of new media art to look into the construction of love and its practices in the time of digitally mediated relationships.With expertise coming from recognized researchers, critics and artists in the field of media and cultural studies, it analyses relationship trends and affect cultures that have emerged from technological acceleration. Data Dating: Love, Technology and Desire is a comprehensive study of love and intimacy under digitalism that reflects on the structure of feeling(s) and libido environments in the high-tech and media-bound landscapes of contemporary technocracies. Organized around ten chapters and ten works of new media art, the collection offers an extensive critical analysis of technologized romance (and other emotional relations), as well as provides an insight into the codification, execution, deployment, and evolution of the patterns of togetherness in the so-called Tamagotchi era. The chapters engage in the problems of new material planes that have emerged from the abstraction of networked communication and dispersion of traditional notions of physicality.They close-read the templates of contemporary fantasy, fetish and eroticism, as shaped by platform capitalism, datafication, and new commodity cultures, in which self-promotion for bonding relies on the new possibilities that are coming in with new media self-mediation formats.Central to the analysis is the carbon-silicon dynamics of love’s contemporary DNA and libidinal techne – practiced in the environment where screens, interfaces, algorithms, data protocols and non-organic objects of affection and affect delineate, organize and program the trajectories of encounter, limerence and erotic pleasure.All the chapters are authored by recognized researchers in the field of love, emotion, media, technology and cultural studies, and they critically explore various aspects of love/intimacy under technocracy, approaching them with expertise the goes beyond the typical high-modernist and post-structural reading of the media-ridden life practices and environments. More importantly, the collection includes landmark works of new media art coming from prominent new media artist gathered around 'Data Dating' – new media art exhibition, curated by Valentina Peri (co-editor of the collection) and presented in Paris, Tel Aviv and London.As such, the collection proffers a unique and original critical approach – one that combines artistic practice and cultural criticism – to comment upon the transformation of human relationships and emotional standards under technological development with reference to the social change and cultural condition. The collection of essays, each accompanied by a work of media art, that provides a comprehensive insight into the construction of love and its practices in the time of digitally mediated relationships. Primary readership will be among educators, researcher and students in disciplines including cultural studies, media and communications, philosophy, sociology, psychology and gender, LGBTQ+ and sexual studies.It will be an extremely valuable resource for those in these fields. It will be of interest to other groups including art curators, online platform designers, social media content managers and designers and data specialists.
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Data and Analytics Strategy for Business : Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy
For many organizations data is a by-product, but for the smarter ones it is the heartbeat of their business.Most businesses have a wealth of data buried in their systems which, if used effectively, could increase revenue, reduce costs and risk and improve customer satisfaction and employee experience.Beginning with how to choose projects which reflect your organization's goals and how to make the business case for investing in data, this book then takes the reader through the five 'waves' of organizational data maturity.It takes the reader from getting started on the data journey with some quick wins, to how data can help your business become a leading innovator which systematically outperforms competitors. Data and Analytics Strategy for Business outlines how to build consistent, high-quality sources of data which will create business value and explores how automation, AI and machine learning can improve performance and decision making.Filled with real-world examples and case studies, this book is a stage-by-stage guide to designing and implementing a results-driven data strategy.
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Implementing Data Mesh : Design, Build, and Implement Data Contracts, Data Products and Data Mesh
As data continues to grow and become more complex, organizations seek innovative solutions to manage their data effectively.Data Mesh is one solution that provides a new approach to managing data in complex organizations.This practical guide offers step-by-step guidance on how to implement data mesh in your organization. In this book, Jean-Georges Perrin and Eric Broda focus on the key components of data mesh and provide practical advice supported by code.You'll explore a simple and intuitive process for identifying key data mesh components and data products, and learn about a consistent set of interfaces and access methods that make data products easy to consume.This approach ensures that your data products are easily accessible and the data mesh ecosystem is easy to navigate.With this book, you'll learn how to:Identify, define, and build data products that interoperate within an enterprise data mesh Build a data mesh fabric that binds data products together Build and deploy data products in a data mesh Establish the organizational structure to operate data products, data platforms, and data fabric Learn an innovative architecture that brings data products and data fabric together into the data mesh
Price: 63.99 £ | Shipping*: 0.00 £
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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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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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What do Data Science and Data Engineering mean?
Data Science involves extracting insights and knowledge from data using various techniques such as statistics, machine learning, and data visualization. Data Scientists are responsible for analyzing and interpreting complex data sets to inform business decisions and solve problems. Data Engineering, on the other hand, focuses on the design and construction of systems for collecting, storing, and processing data. Data Engineers build and maintain the infrastructure that enables data to be accessed and utilized by Data Scientists and other stakeholders. They are also responsible for ensuring the reliability, scalability, and efficiency of data pipelines and storage systems.
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What is the difference between electronics and technology?
Electronics refers specifically to devices that operate by controlling the flow of electrons, such as computers, smartphones, and televisions. Technology, on the other hand, is a broader term that encompasses a wide range of tools, systems, and methods used to solve problems or achieve goals. While electronics are a subset of technology, technology includes not only electronic devices but also mechanical, digital, and other types of tools and systems.
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