Products related to Data:
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Streaming, Sharing, Stealing : Big Data and the Future of Entertainment
How big data is transforming the creative industries, and how those industries can use lessons from Netflix, Amazon, and Apple to fight back. "[The authors explain] gently yet firmly exactly how the internet threatens established ways and what can and cannot be done about it.Their book should be required for anyone who wishes to believe that nothing much has changed."-The Wall Street Journal"Packed with examples, from the nimble-footed who reacted quickly to adapt their businesses, to laggards who lost empires."-Financial TimesTraditional network television programming has always followed the same script: executives approve a pilot, order a trial number of episodes, and broadcast them, expecting viewers to watch a given show on their television sets at the same time every week.But then came Netflix's House of Cards. Netflix gauged the show's potential from data it had gathered about subscribers' preferences, ordered two seasons without seeing a pilot, and uploaded the first thirteen episodes all at once for viewers to watch whenever they wanted on the devices of their choice.In this book, Michael Smith and Rahul Telang, experts on entertainment analytics, show how the success of House of Cards upended the film and TV industries-and how companies like Amazon and Apple are changing the rules in other entertainment industries, notably publishing and music.We're living through a period of unprecedented technological disruption in the entertainment industries.Just about everything is affected: pricing, production, distribution, piracy.Smith and Telang discuss niche products and the long tail, product differentiation, price discrimination, and incentives for users not to steal content.To survive and succeed, businesses have to adapt rapidly and creatively.Smith and Telang explain how. How can companies discover who their customers are, what they want, and how much they are willing to pay for it?Data. The entertainment industries, must learn to play a little "moneyball." The bottom line: follow the data.
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Streaming Data Mesh : A Model for Optimizing Real-Time Data Services
Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster.Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it.This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes.Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product.Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly. With this book, you will:Design a streaming data mesh using KafkaLearn how to identify a domainBuild your first data product using self-service toolsApply data governance to the data products you createLearn the differences between synchronous and asynchronous data servicesImplement self-services that support decentralized data
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Data Analytics Applications in Gaming and Entertainment
The last decade has witnessed the rise of big data in game development as the increasing proliferation of Internet-enabled gaming devices has made it easier than ever before to collect large amounts of player-related data.At the same time, the emergence of new business models and the diversification of the player base have exposed a broader potential audience, which attaches great importance to being able to tailor game experiences to a wide range of preferences and skill levels.This, in turn, has led to a growing interest in data mining techniques, as they offer new opportunities for deriving actionable insights to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation.By now, data mining and analytics have become vital components of game development.The amount of work being done in this area nowadays makes this an ideal time to put together a book on this subject. Data Analytics Applications in Gaming and Entertainment seeks to provide a cross section of current data analytics applications in game production.It is intended as a companion for practitioners, academic researchers, and students seeking knowledge on the latest practices in game data mining.The chapters have been chosen in such a way as to cover a wide range of topics and to provide readers with a glimpse at the variety of applications of data mining in gaming.A total of 25 authors from industry and academia have contributed 12 chapters covering topics such as player profiling, approaches for analyzing player communities and their social structures, matchmaking, churn prediction and customer lifetime value estimation, communication of analytical results, and visual approaches to game analytics.This book’s perspectives and concepts will spark heightened interest in game analytics and foment innovative ideas that will advance the exciting field of online gaming and entertainment.
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Arabic European IPTV Subscription Free Testing Account With 5500+ Channels & 10000+ Movies
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Which streaming subscription from Netflix is suitable for streaming on the television?
The Netflix Premium subscription plan is most suitable for streaming on the television. This plan allows streaming on up to four devices at the same time and offers content in Ultra HD quality, making it ideal for enjoying movies and TV shows on a larger screen. Additionally, the Premium plan includes access to Netflix's entire library of content, ensuring a wide variety of options for television viewing.
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How much data is consumed when streaming Netflix?
The amount of data consumed when streaming Netflix varies depending on the video quality. For example, streaming in standard definition (SD) can consume about 1 GB of data per hour, while streaming in high definition (HD) can consume up to 3 GB of data per hour. If you're streaming in 4K Ultra HD, it can consume up to 7 GB of data per hour. It's important to be mindful of your data usage, especially if you have a limited data plan with your internet service provider.
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How much data does streaming on Twitch consume?
The amount of data consumed while streaming on Twitch can vary depending on the quality of the stream and the length of time spent streaming. On average, streaming at 720p resolution with a bitrate of 3000 kbps can consume around 1.3 GB of data per hour. However, higher quality streams with higher bitrates can consume more data, while lower quality streams with lower bitrates can consume less data. It's important for streamers to be mindful of their data usage, especially if they have data caps on their internet plans.
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How much data volume is needed for streaming?
The amount of data volume needed for streaming can vary depending on the quality of the video being streamed. For standard definition (SD) video, you may need around 1-3 Mbps (megabits per second) of data, while high definition (HD) video may require 5-8 Mbps. For 4K ultra high definition (UHD) video, you may need 25 Mbps or more. It's important to consider your internet speed and data plan to ensure you have enough data volume for uninterrupted streaming.
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Arabic European IPTV 1-Month Subscription Free Testing Account With 5500+ Channels & 10000+ Movies
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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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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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Are television channels allowed to broadcast Netflix movies?
No, television channels are not allowed to broadcast Netflix movies. Netflix movies are exclusive to the Netflix platform and are not licensed for broadcast on traditional television channels. Netflix has its own subscription-based model and does not allow its content to be aired on other platforms without proper licensing agreements.
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What is the mobile data consumption of music streaming?
The mobile data consumption of music streaming can vary depending on the quality of the audio being streamed. On average, streaming music at a standard quality of 128 kbps (kilobits per second) can consume around 0.5 MB (megabytes) of data per minute. However, streaming music at higher quality levels, such as 320 kbps, can consume up to 2 MB of data per minute. It's important for users to be aware of their data limits and adjust their streaming quality accordingly to manage their data consumption.
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How much data volume is consumed when streaming Netflix?
The amount of data consumed when streaming Netflix varies depending on the video quality. On average, streaming in standard definition (SD) uses about 1 GB of data per hour, while streaming in high definition (HD) uses around 3 GB per hour. For those streaming in 4K Ultra HD, the data consumption can be as high as 7 GB per hour. It's important to keep these figures in mind to avoid exceeding data caps or incurring additional charges from your internet service provider.
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Do you still watch movies on private television channels?
As a language model AI, I do not watch movies on private television channels. However, many people still watch movies on private television channels for the convenience of having a curated selection of films available at specific times. Some viewers enjoy the experience of watching movies with commercials and the communal aspect of watching a film that is being broadcast simultaneously to a wide audience.
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