This book describes the history and science behind streaming, including the new ideas and applications scientists are currently working on. Informative sidebars, a "How It Works" special feature, a table of contents, quiz questions, a glossary, an index, and additional resources assist and engage readers as they learn. This Focus Readers series is at the Navigator level, aligned to reading levels of grades 3-5 and interest levels of grades 4-7.
”The Earth Dies Streaming solidifies Hamrah's place as our age’s most irreplaceable critic.”—Kyle Paoletta, GuernicaThe Earth Dies Streaming collects the best of A. S. Hamrah’s film writing for n+1, The Baffler, Bookforum, Harper’s, and other publications. Acerbic, insightful, hilarious, and damning, Hamrah’s aphoristic capsule reviews and lucid career retrospectives of filmmakers and critics have taken up the mantle of serious American film criticism—pioneered by James Agee, Robert Warshow, and Pauline Kael—and carried it into the 21st century. Taken together, these reviews and essays represent some of the best film criticism in the English language. The Earth Dies Streaming showcases a remarkable critical intelligence while offering a cultural history of the cinema of our times.n+1’s film critic A. S. Hamrah gives us his electric takes on 21st century cinema in this acerbic, insightful collection of capsule reviews and essays.
Ever have trouble keeping track of where all your favorite British TV shows are streaming? This guide offers a timely look at where British TV shows are streaming in the United States as of Autumn 2020. The British TV Streaming Guide includes roughly 2000 shows from 18 different American streaming services. Along with descriptions and original air dates, all titles are indexed in the back so you can quickly find out where your favorite shows are available.Whether you're a Midsomer Murders fan, a Monty Python addict, or a lover of period dramas like Downton Abbey, this British TV guide will help you discover new shows and locate old favorites.
Ever have trouble keeping track of where all your favorite British TV shows are streaming? This guide offers a timely look at where British TV shows are streaming in the United States as of Winter 2020. The British TV Streaming Guide includes roughly 2000 shows from 19 different American streaming services. Along with descriptions and original air dates, all titles are indexed in the back so you can quickly find out where your favorite shows are available. For the winter edition, we've also added a section that tells you where to find dozens of British TV Christmas specials.Whether you're a Midsomer Murders fan, a Monty Python addict, or a lover of period dramas like Downton Abbey, this British TV guide will help you discover new shows and locate old favorites.
Can you imagine going on a trip into space? What about flying along at 300 miles an hour in a levitating train? Or clinging onto your seat at a 4D movie? Thanks to STEM, soon you can do all this and more! Science, technology, engineering and maths are bringing new toys, tolls and technological gadgets into our everyday lives.
Design and administer fast, reliable enterprise messaging systems with Apache Kafka About This Book • Build efficient real-time streaming applications in Apache Kafka to process data streams of data • Master the core Kafka APIs to set up Apache Kafka clusters and start writing message producers and consumers • A comprehensive guide to help you get a solid grasp of the Apache Kafka concepts in Apache Kafka with pracitcalpractical examples Who This Book Is For If you want to learn how to use Apache Kafka and the different tools in the Kafka ecosystem in the easiest possible manner, this book is for you. Some programming experience with Java is required to get the most out of this book What You Will Learn • Learn the basics of Apache Kafka from scratch • Use the basic building blocks of a streaming application • Design effective streaming applications with Kafka using Spark, Storm &, and Heron • Understand the importance of a low -latency , high- throughput, and fault-tolerant messaging system • Make effective capacity planning while deploying your Kafka Application • Understand and implement the best security practices In Detail Apache Kafka is a popular distributed streaming platform that acts as a messaging queue or an enterprise messaging system. It lets you publish and subscribe to a stream of records, and process them in a fault-tolerant way as they occur. This book is a comprehensive guide to designing and architecting enterprise-grade streaming applications using Apache Kafka and other big data tools. It includes best practices for building such applications, and tackles some common challenges such as how to use Kafka efficiently and handle high data volumes with ease. This book first takes you through understanding the type messaging system and then provides a thorough introduction to Apache Kafka and its internal details. The second part of the book takes you through designing streaming application using various frameworks and tools such as Apache Spark, Apache Storm, and more. Once you grasp the basics, we will take you through more advanced concepts in Apache Kafka such as capacity planning and security. By the end of this book, you will have all the information you need to be comfortable with using Apache Kafka, and to design efficient streaming data applications with it. Style and approach A step-by –step, comprehensive guide filled with practical and real- world examples
Data has cemented itself as a building block of daily life. However, surrounding oneself with great quantities of information heightens risks to one's personal privacy. Additionally, the presence of massive amounts of information prompts researchers into how best to handle and disseminate it. Research is necessary to understand how to cope with the current technological requirements. Large-Scale Data Streaming, Processing, and Blockchain Security is a collection of innovative research that explores the latest methodologies, modeling, and simulations for coping with the generation and management of large-scale data in both scientific and individual applications. Featuring coverage on a wide range of topics including security models, internet of things, and collaborative filtering, this book is ideally designed for entrepreneurs, security analysts, IT consultants, security professionals, programmers, computer technicians, data scientists, technology developers, engineers, researchers, academicians, and students.
Data has cemented itself as a building block of daily life. However, surrounding oneself with great quantities of information heightens risks to one's personal privacy. Additionally, the presence of massive amounts of information prompts researchers into how best to handle and disseminate it. Research is necessary to understand how to cope with the current technological requirements. Large-Scale Data Streaming, Processing, and Blockchain Security is a collection of innovative research that explores the latest methodologies, modeling, and simulations for coping with the generation and management of large-scale data in both scientific and individual applications. Featuring coverage on a wide range of topics including security models, internet of things, and collaborative filtering, this book is ideally designed for entrepreneurs, security analysts, IT consultants, security professionals, programmers, computer technicians, data scientists, technology developers, engineers, researchers, academicians, and students.
Explore Kinesis managed services such as Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and Kinesis Video Streams with the help of practical use casesKey FeaturesGet well versed with the capabilities of Amazon KinesisExplore the monitoring, scaling, security, and deployment patterns of various Amazon Kinesis servicesLearn how other Amazon Web Services and third-party applications such as Splunk can be used as destinations for Kinesis dataBook DescriptionAmazon Kinesis is a collection of secure, serverless, durable, and highly available purpose-built data streaming services. This data streaming service provides APIs and client SDKs that enable you to produce and consume data at scale. Scalable Data Streaming with Amazon Kinesis begins with a quick overview of the core concepts of data streams, along with the essentials of the AWS Kinesis landscape. You'll then explore the requirements of the use case shown through the book to help you get started and cover the key pain points encountered in the data stream life cycle. As you advance, you'll get to grips with the architectural components of Kinesis, understand how they are configured to build data pipelines, and delve into the applications that connect to them for consumption and processing. You'll also build a Kinesis data pipeline from scratch and learn how to implement and apply practical solutions. Moving on, you'll learn how to configure Kinesis on a cloud platform. Finally, you’ll learn how other AWS services can be integrated into Kinesis. These services include Redshift, Dynamo Database, AWS S3, Elastic Search, and third-party applications such as Splunk. By the end of this AWS book, you’ll be able to build and deploy your own Kinesis data pipelines with Kinesis Data Streams (KDS), Kinesis Data Firehose (KFH), Kinesis Video Streams (KVS), and Kinesis Data Analytics (KDA).What you will learnGet to grips with data streams, decoupled design, and real-time stream processingUnderstand the properties of KFH that differentiate it from other Kinesis servicesMonitor and scale KDS using CloudWatch metricsSecure KDA with identity and access management (IAM)Deploy KVS as infrastructure as code (IaC)Integrate services such as Redshift, Dynamo Database, and Splunk into KinesisWho this book is forThis book is for solutions architects, developers, system administrators, data engineers, and data scientists looking to evaluate and choose the most performant, secure, scalable, and cost-effective data streaming technology to overcome their data ingestion and processing challenges on AWS. Prior knowledge of cloud architectures on AWS, data streaming technologies, and architectures is expected.
Apply machine learning to streaming data with the help of practical examples, and deal with challenges that surround streamingKey FeaturesWork on streaming use cases that are not taught in most data science coursesGain experience with state-of-the-art tools for streaming dataMitigate various challenges while handling streaming dataBook DescriptionStreaming data is the new top technology to watch out for in the field of data science and machine learning. As business needs become more demanding, many use cases require real-time analysis as well as real-time machine learning. This book will help you to get up to speed with data analytics for streaming data and focus strongly on adapting machine learning and other analytics to the case of streaming data.You will first learn about the architecture for streaming and real-time machine learning. Next, you will look at the state-of-the-art frameworks for streaming data like River. Later chapters will focus on various industrial use cases for streaming data like Online Anomaly Detection and others. As you progress, you will discover various challenges and learn how to mitigate them. In addition to this, you will learn best practices that will help you use streaming data to generate real-time insights.By the end of this book, you will have gained the confidence you need to stream data in your machine learning models.What you will learnUnderstand the challenges and advantages of working with streaming dataDevelop real-time insights from streaming dataUnderstand the implementation of streaming data with various use cases to boost your knowledgeDevelop a PCA alternative that can work on real-time dataExplore best practices for handling streaming data that you absolutely need to rememberDevelop an API for real-time machine learning inferenceWho this book is forThis book is for data scientists and machine learning engineers who have a background in machine learning, are practice and technology-oriented, and want to learn how to apply machine learning to streaming data through practical examples with modern technologies. Although an understanding of basic Python and machine learning concepts is a must, no prior knowledge of streaming is required.
This book helps OTT providers, TV broadcasters, television equipment & service vendors to discover, learn, and implement emerging Streaming TV services, applications, and key revenue generation options. It identifies key performance indicators for OTT systems, ways to increase TV and digital ad rates, how TV apps can earn in-app advertising and purchase revenues, ways to monetize Social TV and how tCommerce can add new on and off screen revenues. This book was developed from interviews and contributions from 117+ successful OTT industry companies. Understanding and learning how to implement new services is critical for the survival of streaming TV service providers and existing broadcasters due to rapidly increasing competition. This TV business course starts by sharing marketplace revenues, forecasts, and trends. It covers OTT system content, platform, and engagement opportunities. OTT and digital advertising systems are explained along with ways service providers can select and deliver targeted ads, personalize them, and sell ad distribution on co-channel distribution platforms. TV app development, distribution, and maintenance options are described along with how TV apps can be monetized. Social TV systems and services are explained including blended content, second screen, and off screen engagement opportunities. New television commerce (tCommerce) revenue services are described including affiliate referral commission programs, direct response television sales, and interactive shopping channels.After Reading this Book, You Will be Able To: - Describe New OTT Services & How They Work - Understand & Use Streaming TV Terms & Acronyms - Know Key OTT Market Data, Trends, & Benchmarks - Increase New Subscribers & Decrease Churn - Ways to Increase TV Video Ad Revenues - Offer New Types of Digital Ads - Earn In-App Ad & In-App Purchase Revenues - Understand How to Monetize Fans Engagement - Setup & Monetize Second Screen Services - Earn tCommerce Revenues from Affiliate DRTV, & Shopping Channels
The Streaming TV guide that makes the most of readers' screen time. Streaming TV has brought us endless viewing options but also endless scrolling. Let Primetimer, the web's leading resource for television news, reviews and commentary, help you find your next great watch. Want something on Hulu or Prime Video but overwhelmed by choices? Need a list of prestige dramas, quirky comedies or docs across all your streaming platforms? Not ready to binge? Just want something for tonight? Prefer suggestions from humans instead of algorithms? This ingenious guide will help you discover just what you want without wasting your time. What's inside The Primetimer Guide Reviews of 1,000+ TV series, limited series, original movies, specials and docuseries--all recommended by Primetimer staff and contributors for streaming on Netflix, Hulu, Prime Video, HBO Max, Disney+, Peacock, Paramount+, Showtime, Apple TV+, Epix, BritBox, AMC+ and other popular platforms Dozens of curated lists for rapidly finding what to watch next The Primetimer Guide to Cord-Cutting, with money-saving tips and guide to the latest Streaming TV technology Indexes for looking up shows by title, channel and talent The Primetimer Guide to Streaming TV is the one book to keep next to the remote.
Are you a novice to technology or live streaming and ready to take the leap to producing professional live broadcasts? Or, perhaps you recognize that it is time to progress from using your cell phone for live streaming. The Business of Live Streaming serves as a valuable resource for the budget conscious small organizations that are seeking solutions for lowering marketing costs, promoting their services, and growing their organization through video. With the integration of the internet, small businesses have a tremendous opportunity with the use of websites and social media to expand their reach, experience real-time audience engagement, and generate qualified leads. The Business of Live Streaming is a great guide to get started for all small businesses, houses of worship, communicators, consultants and other professionals. While identifying the four C's to expanding your reach through Facebook Live Streaming, you will learn: - The benefits of live streaming - Defining success through analytics - How to utilize Facebook as a lead generator - 10 creative ways to re-purpose videos - How to monetize your content - Live Streaming ideas - The differences of digital and traditional marketing - How to boost your confidence on camera - Lots of "Biz Tidbits" throughout the book
Author and streamer Travis I. Sivart brings you a primer for streaming on Twitch.tv covering more than just technicals, and instead giving you insight into image, content, how to gain an audience, and how to keep your viewers coming back for more.Travis started doing live, interactive street theater in 1990, went to broadcasting school in 2003, created his first podcast in 2007, changed to live internet pirate radio in 2012, and began live streaming in 2017. Since he published his first book in 2013, he's been a guest speaker at dozens of conventions, and has done numerous live broadcasts. The point of all that is; He knows a bit about presentation and interacting with the public in an entertainment role.One of the main points Travis wants streamers to remember is, "Something that always goes with having fun is to be yourself. People would rather watch someone awkward who's having fun, than a professional being miserable. That's a truth that you can bank on."Book 4 in the "27 Thoughts on Social DIY" series.
This book examines the problem of relevant query answering over the Web and provides a comprehensive overview of relevant query answering over streaming and distributed data. In recent years, Web applications that combine highly dynamic data streams with data distributed over the Web to provide relevant answers have attracted increasing attention. Answering in a timely fashion, i.e., reactively, is one of the most important performance indicators, especially when the distributed data is evolving. The book proposes a solution that retains a local replica of the distributed data and offers various maintenance policies to refresh the replica over time. A limited refresh budget guarantees the reactiveness of the system. Focusing on stream processing and Semantic Web, it appeals to scientists and graduate students in the field.
This collection examines the impact of streaming platforms on European cinema. It is structured from three distinct points-of-view: the policy issues related to streaming platforms, equally at the European level and in individual countries; the impact of platforms on the circulation of European films, including some of the global players, multi-national and single-nation platforms operating in Europe; and the production activities of the platforms in the form of specific ‘original’ films. By bringing together scholars working on various national cinemas, including those of France, Spain, Britain and other countries, this collection illuminates the many ways in which the European film industry is responding to the digital revolution.Chapter 5 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
This collection examines the impact of streaming platforms on European cinema. It is structured from three distinct points-of-view: the policy issues related to streaming platforms, equally at the European level and in individual countries; the impact of platforms on the circulation of European films, including some of the global players, multi-national and single-nation platforms operating in Europe; and the production activities of the platforms in the form of specific ‘original’ films. By bringing together scholars working on various national cinemas, including those of France, Spain, Britain and other countries, this collection illuminates the many ways in which the European film industry is responding to the digital revolution.Chapter 5 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
This book explores how artificial intelligence, cloud computing, and edge technologies are transforming video streaming systems. It delves into AI-driven adaptive bitrate streaming, predictive resource allocation, and federated learning for personalized recommendations. The integration of cloud and edge computing is highlighted as a solution for scalability and low-latency streaming, addressing challenges like bandwidth optimization, cost-efficiency, and Quality of Experience (QoE). The book offers actionable insights into emerging technologies like 5G, quantum computing, and blockchain. It features case studies and real-world implementations, making it an essential resource for researchers, industry professionals, and students. Bridging theory and practice, the book provides a comprehensive guide to building the next generation of efficient and scalable video streaming infrastructures.
