Products related to Data:
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Collinear Holography : Devices, Materials, Data Storage
Collinear Holography Provides state-of-the-art, in-depth knowledge on the principles, devices, and applications of collinear holography In the era of Big Data, traditional magnetic and optical storage technologies are unable to satisfy the growing demand for reliable, scalable, cost-effective, and energy-efficient data storage.Holographic storage, considered the most promising technology for meeting the future storage needs of the information age, adopts a three-dimensional volume storage mode with a theoretical storage density vastly greater than conventional optical disks. Collinear Holography: Devices, Materials, Data Storage is a comprehensive, up-to-date account of the volumetric recording technology that combines large storage capacities with high transfer rates and exceptional reliability in optical data storage systems.Written by pioneers in the field, this authoritative book provides detailed coverage of the key technological approaches, theories, applications, systems, devices, and components in the rapidly advancing field of holographic data storage. Explains the principles of collinear holography, its different system setups, key devices and components, and current challenges Describes the materials, data and media formats, servo controls, and read/write characteristics of collinear holography storage systems Details collinear holography in current applications such as holo-printing, correlation, and encryption Discusses futures technologies including the Holographic Versatile Disc (HVD) and the The Holographic Versatile Card (HVC) Collinear Holography: Devices, Materials, Data Storage is an indispensable resource for applied physicists, electrical engineers, and materials and information scientists in both academia and industry.
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Data Science at the Command Line : Obtain, Scrub, Explore, and Model Data with Unix Power Tools
This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist.You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data.To get you started, author Jeroen Janssens provides a Docker image packed with over 80 tools--useful whether you work with Windows, macOS, or Linux. You'll quickly discover why the command line is an agile, scalable, and extensible technology.Even if you're comfortable processing data with Python or R, you'll learn how to greatly improve your data science workflow by leveraging the command line's power.This book is ideal for data scientists, analysts, and engineers; software and machine learning engineers; and system administrators. Obtain data from websites, APIs, databases, and spreadsheetsPerform scrub operations on text, CSV, HTM, XML, and JSON filesExplore data, compute descriptive statistics, and create visualizationsManage your data science workflowCreate reusable command-line tools from one-liners and existing Python or R codeParallelize and distribute data-intensive pipelinesModel data with dimensionality reduction, clustering, regression, and classification algorithms
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Making with Data : Physical Design and Craft in a Data-Driven World
How can we give data physical form?And how might those creations change the ways we experience data and the stories it can tell?Making with Data: Physical Design and Craft in a Data-Driven World provides a snapshot of the diverse practices contemporary creators are using to produce objects, spaces, and experiences imbued with data.Across 25+ beautifully-illustrated chapters, international artists, designers, and scientists each explain the process of creating a specific data-driven piece—illustrating their practice with candid sketches, photos, and design artifacts from their own studios. The author website, featuring updates and more information about the projects behind the book, can be found here: https://makingwithdata.org/. Featuring influential voices in computer science, data science, graphic design, art, craft, and architecture, Making with Data is accessible and inspiring for enthusiasts and experts alike.
Price: 42.99 £ | Shipping*: 0.00 £ -
Model Tools Kit Modeler Basic Tools Craft Set Hobby Building Tools Kit for Gundam Car Model Building
Model Tools Kit Modeler Basic Tools Craft Set Hobby Building Tools Kit for Gundam Car Model Building
Price: 5.69 € | Shipping*: 1.99 €
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What is the difference between a logical data model and a relational data model?
A logical data model is a high-level representation of the data elements, their relationships, and constraints in a business domain. It focuses on the entities, attributes, and relationships between them, without considering the physical implementation. On the other hand, a relational data model is a specific implementation of a logical data model using tables, columns, and foreign key relationships in a relational database management system (RDBMS). While a logical data model is technology-agnostic and focuses on the business perspective, a relational data model is specific to the implementation in a relational database system.
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Where do you buy your craft supplies online?
I buy my craft supplies online from a variety of sources, including Amazon, Etsy, and specialty craft supply websites. I often look for specific items on Amazon due to its wide selection and fast shipping options. Etsy is great for finding unique and handmade supplies, while specialty craft supply websites offer a more curated selection of high-quality materials for specific projects.
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Where is the best place to store craft supplies?
The best place to store craft supplies is in a designated area that is easily accessible and well-organized. Consider using clear containers or bins to store different types of supplies so they are visible and easy to find. It's also helpful to store supplies in a cool, dry place to prevent damage or deterioration. Additionally, consider using shelves, drawers, or cabinets to keep everything neatly stored and easily accessible for your next crafting project.
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What is the difference between materials and tools?
Materials are the substances or components used to create or build something, such as wood, metal, plastic, or fabric. Tools, on the other hand, are instruments or devices used to manipulate or work with materials, such as hammers, saws, drills, or sewing machines. In other words, materials are the raw elements used in a project, while tools are the instruments used to shape, cut, or assemble those materials.
Similar search terms for Data:
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Model Tools Kit Modeler Basic Tools Craft Set Hobby Building Tools Kit for Gundam Car Model Building
Model Tools Kit Modeler Basic Tools Craft Set Hobby Building Tools Kit for Gundam Car Model Building
Price: 6.19 € | Shipping*: 1.99 € -
Model Tools Kit Modeler Basic Tools Craft Set Hobby Building Tools Kit for Gundam Car Model Building
Model Tools Kit Modeler Basic Tools Craft Set Hobby Building Tools Kit for Gundam Car Model Building
Price: 6.09 € | Shipping*: 1.99 € -
Model Tools Kit Modeler Basic Tools Craft Set Hobby Building Tools Kit for Gundam Car Model Building
Model Tools Kit Modeler Basic Tools Craft Set Hobby Building Tools Kit for Gundam Car Model Building
Price: 6.09 € | Shipping*: 1.99 € -
Model Tools Kit Modeler Basic Tools Craft Set Hobby Building Tools Kit for Gundam Car Model Building
Model Tools Kit Modeler Basic Tools Craft Set Hobby Building Tools Kit for Gundam Car Model Building
Price: 6.19 € | Shipping*: 1.99 €
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What are these tools called in the craft trades?
These tools are commonly referred to as hand tools in the craft trades. Hand tools are devices for performing work on a material or a physical system using only hands. They are essential for tasks that require precision, control, and attention to detail, making them indispensable in various craft trades such as woodworking, metalworking, and construction. Hand tools come in a wide range of types and sizes, each serving a specific purpose in the craft trade industry.
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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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