Products related to Data:
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New Playful Data : Graphic Design and Illustration for Infographics
New Playful Data: Graphic Design and Illustration for Infographics features brilliant and illustrative infographic projects from gifted graphic designers, illustrators, artists, and even scientists.Not only do they visualize data in a tangible and memorable way through playful illustrations, but they also provide us with inspiration for balancing colors, words, and images, as well as for distinguishing between primary and secondary information when data is presented alongside pictures.The projects revealed in this volume are divided into three main categories: statistical findings, flow diagrams, and instruction and explanation.Some of the projects illustrate data acquired from rigorous and precise scientific research, while others are the product of designers’ imagination and experimentation.It’s time to learn to play with data!
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Deep Learning for Medical Applications with Unique Data
Deep Learning for Medical Applications with Unique Data informs readers about the most recent deep learning-based medical applications in which only unique data gathered in real cases are used.The book provides examples of how deep learning can be used in different problem areas and frameworks in both clinical and research settings, including medical image analysis, medical image registration, time series analysis, medical data synthesis, drug discovery, and pre-processing operations.The volume discusses not only positive findings, but also negative ones obtained by deep learning techniques, including the use of newly developed deep learning techniques rarely reported in the existing literature.The book excludes research works with ready data sets and includes only unique data use to better understand the state of deep learning in real-world cases, along with the feedback and user experiences from physicians and medical staff for applied deep learning-based solutions.Other applications presented in the book include hybrid solutions with deep learning support, disease diagnosis with deep learning focusing on rare diseases and cancer, patient care and treatment, genomics research, as well as research on robotics and autonomous systems.
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Whistle dangle earrings Super Quirky Fun Funky
Whistle dangle earrings Super Quirky Fun Funky
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Whistle dangle earrings Super Quirky Fun Funky
Whistle dangle earrings Super Quirky Fun Funky
Price: 1.26 € | Shipping*: 1.99 €
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Are you going crazy from the mobile data?
No, I'm not going crazy from mobile data. As an AI, I don't have personal experiences or emotions, so I don't feel the same frustrations or limitations that humans might feel when it comes to mobile data usage. However, I can understand that managing mobile data can be a challenge for many people, especially when it comes to staying within data limits and dealing with slow or unreliable connections. If you're feeling overwhelmed by mobile data, it might be helpful to explore different data plans or technologies that can better meet your needs.
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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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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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Deciphering Data Architectures : Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse.These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion.This practical book provides a guided tour of each architecture to help data professionals understand its pros and cons. In the process, James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features.You'll learn what data lakehouses can help you achieve, and how to distinguish data mesh hype from reality.Best of all, you'll be able to determine the most appropriate data architecture for your needs.By reading this book, you'll:Gain a working understanding of several data architecturesKnow the pros and cons of each approachDistinguish data architecture theory from the realityLearn to pick the best architecture for your use caseUnderstand the differences between data warehouses and data lakesLearn common data architecture concepts to help you build better solutionsAlleviate confusion by clearly defining each data architectureKnow what architectures to use for each cloud provider
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Data Management at Scale : Modern Data Architecture with Data Mesh and Data Fabric
As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable.Today's world is about quickly turning data into value.This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others.With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape.Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including regulatory requirements, privacy concerns, and new developments such as data mesh and data fabricGo deep into building a modern data architecture, including cloud data landing zones, domain-driven design, data product design, and moreExplore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
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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
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The Data Revolution : A Critical Analysis of Big Data, Open Data and Data Infrastructures
Our world is becoming ever more data-driven, transforming how business is conducted, governance enacted, and knowledge produced.Yet, the nature of data and the scope and implications of the changes taking place are not always clear. The Data Revolution is a must read for anyone interested in why data have become so important in the contemporary era. Thoroughly updated, including ten new chapters, the book provides an accessible and comprehensive: introduction to thinking conceptually about the nature of data and the field of critical data studiesoverview of big data, open data and data infrastructuresanalysis of the utility and value of big and open data for research, business, government and civil societyassessment of the concerns and risks in a data-driven world and how to prevent and mitigate them.
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What are some fun and unique wedding gifts?
Some fun and unique wedding gifts could include personalized artwork or custom portraits, a subscription box for date nights or cooking classes, a custom-made piece of furniture for the couple's home, a wine or whiskey tasting experience, or a donation to a charity in the couple's name. These gifts go beyond the traditional registry items and can create lasting memories for the newlyweds.
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How can one create a unique string in MySQL by combining data from different tables?
One way to create a unique string in MySQL by combining data from different tables is by using the CONCAT function. This function allows you to concatenate multiple columns or strings together to create a new string. You can use this function in your SELECT statement to combine data from different tables into a single unique string. By carefully selecting the columns and arranging them in the desired order, you can create a custom string that is unique to your specific requirements.
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How can one create a unique string by combining data from different tables in MySQL?
One way to create a unique string by combining data from different tables in MySQL is by using the CONCAT function. You can select the desired columns from each table and use the CONCAT function to combine them into a single string. This can be done in a SELECT statement or as part of an INSERT or UPDATE query. By customizing the order and format of the data from each table, you can create a unique string that meets your specific requirements.
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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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