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Get Streaming!

Author: Joe Follansbee

Publisher: Taylor & Francis

Published: 2004

Total Pages: 244

ISBN-13: 0240805593

Get Streaming with this fun, easy-to-read guide! Streaming your audio and video online is inexpensive, easy, and fun. Get the fast results you need with Get Streaming! - a step-by-step, introductory level book that gets you up and running today. Streaming media technology is growing into an indispensable part of a successful business communications strategy. This book will not only give you a professional boost, it will help you deliver your home videos to family and friends anywhere in the world! Why slog through a technology tome for weeks when you can start right now with the simple, easy-to-follow procedures in this book. Use the comprehensive glossary of terms with one sentence definitions to lay the foundation for your streaming know-how. You'll take away a practical understanding of streaming media without feeling overwhelmed by confusing detail. Tips and insights from leading streaming pros are also at your fingertips. Whether you want to stream a corporate video, home videos, or your favorite music for friends - after reading this book, you will: * Understand the three steps of streaming: Capture, Encode, Broadcast * Install free streaming software, capture raw media, encode into a streamable file, place that file on a streaming server, and link it all up to the Internet! * Know the fundamentals of how the Internet works in relation to streaming media * Build simple, effective streaming applications with free tools * Learn how to make the right streaming media technology choices, including codecs, for your specific situation * Understand RealVideo, Windows Media, QuickTime, Flash MX and MPEG-4 software * Make informed choices from among the leading streaming media content creation tools made by RealNetworks, Microsoft, Apple Computer, and Macromedia * Master the steps for creating on-demand streaming audio and video files as well as learning about live audio and video streaming * Understand the computer hardware and Internet bandwidth you'll need for maximum success * Glimpse the future business and career opportunities in the expanding streaming media field.

Streaming Data

Author: Andrew Psaltis

Publisher: Simon and Schuster

Published: 2017-05-31

Total Pages: 314

ISBN-13: 1638357242

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Summary Streaming Data introduces the concepts and requirements of streaming and real-time data systems. The book is an idea-rich tutorial that teaches you to think about how to efficiently interact with fast-flowing data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology As humans, we're constantly filtering and deciphering the information streaming toward us. In the same way, streaming data applications can accomplish amazing tasks like reading live location data to recommend nearby services, tracking faults with machinery in real time, and sending digital receipts before your customers leave the shop. Recent advances in streaming data technology and techniques make it possible for any developer to build these applications if they have the right mindset. This book will let you join them. About the Book Streaming Data is an idea-rich tutorial that teaches you to think about efficiently interacting with fast-flowing data. Through relevant examples and illustrated use cases, you'll explore designs for applications that read, analyze, share, and store streaming data. Along the way, you'll discover the roles of key technologies like Spark, Storm, Kafka, Flink, RabbitMQ, and more. This book offers the perfect balance between big-picture thinking and implementation details. What's Inside The right way to collect real-time data Architecting a streaming pipeline Analyzing the data Which technologies to use and when About the Reader Written for developers familiar with relational database concepts. No experience with streaming or real-time applications required. About the Author Andrew Psaltis is a software engineer focused on massively scalable real-time analytics. Table of Contents PART 1 - A NEW HOLISTIC APPROACH Introducing streaming data Getting data from clients: data ingestion Transporting the data from collection tier: decoupling the data pipeline Analyzing streaming data Algorithms for data analysis Storing the analyzed or collected data Making the data available Consumer device capabilities and limitations accessing the data PART 2 - TAKING IT REAL WORLD Analyzing Meetup RSVPs in real time

Streaming, Sharing, Stealing

Author: Michael D. Smith

Publisher: MIT Press

Published: 2017-08-25

Total Pages: 229

ISBN-13: 0262534525

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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 Times Traditional 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.

Streaming Systems

Author: Tyler Akidau

Publisher: "O'Reilly Media, Inc."

Published: 2018-07-16

Total Pages: 391

ISBN-13: 1491983825

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Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way. Expanded from Tyler Akidau’s popular blog posts "Streaming 101" and "Streaming 102", this book takes you from an introductory level to a nuanced understanding of the what, where, when, and how of processing real-time data streams. You’ll also dive deep into watermarks and exactly-once processing with co-authors Slava Chernyak and Reuven Lax. You’ll explore: How streaming and batch data processing patterns compare The core principles and concepts behind robust out-of-order data processing How watermarks track progress and completeness in infinite datasets How exactly-once data processing techniques ensure correctness How the concepts of streams and tables form the foundations of both batch and streaming data processing The practical motivations behind a powerful persistent state mechanism, driven by a real-world example How time-varying relations provide a link between stream processing and the world of SQL and relational algebra

An Evaluation of Streaming Current Detectors

Author: Steven K. Dentel

Publisher: American Water Works Association

Published: 1988

Total Pages: 250

ISBN-13: 0898674379

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Grokking Streaming Systems

Author: Josh Fischer

Publisher: Simon and Schuster

Published: 2022-04-19

Total Pages: 310

ISBN-13: 1638356491

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A friendly, framework-agnostic tutorial that will help you grok how streaming systems work—and how to build your own! In Grokking Streaming Systems you will learn how to: Implement and troubleshoot streaming systems Design streaming systems for complex functionalities Assess parallelization requirements Spot networking bottlenecks and resolve back pressure Group data for high-performance systems Handle delayed events in real-time systems Grokking Streaming Systems is a simple guide to the complex concepts behind streaming systems. This friendly and framework-agnostic tutorial teaches you how to handle real-time events, and even design and build your own streaming job that’s a perfect fit for your needs. Each new idea is carefully explained with diagrams, clear examples, and fun dialogue between perplexed personalities! About the technology Streaming systems minimize the time between receiving and processing event data, so they can deliver responses in real time. For applications in finance, security, and IoT where milliseconds matter, streaming systems are a requirement. And streaming is hot! Skills on platforms like Spark, Heron, and Kafka are in high demand. About the book Grokking Streaming Systems introduces real-time event streaming applications in clear, reader-friendly language. This engaging book illuminates core concepts like data parallelization, event windows, and backpressure without getting bogged down in framework-specific details. As you go, you’ll build your own simple streaming tool from the ground up to make sure all the ideas and techniques stick. The helpful and entertaining illustrations make streaming systems come alive as you tackle relevant examples like real-time credit card fraud detection and monitoring IoT services. What's inside Implement and troubleshoot streaming systems Design streaming systems for complex functionalities Spot networking bottlenecks and resolve backpressure Group data for high-performance systems About the reader No prior experience with streaming systems is assumed. Examples in Java. About the author Josh Fischer and Ning Wang are Apache Committers, and part of the committee for the Apache Heron distributed stream processing engine. Table of Contents PART 1 GETTING STARTED WITH STREAMING 1 Welcome to Grokking Streaming Systems 2 Hello, streaming systems! 3 Parallelization and data grouping 4 Stream graph 5 Delivery semantics 6 Streaming systems review and a glimpse ahead PART 2 STEPPING UP 7 Windowed computations 8 Join operations 9 Backpressure 10 Stateful computation 11 Wrap-up: Advanced concepts in streaming systems

Streaming and Copyright Law

Author: Lasantha Ariyarathna

Publisher: Taylor & Francis

Published: 2022-09-05

Total Pages: 180

ISBN-13: 1000642763

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This book examines the challenges posed to Australian copyright law by streaming, from the end-user perspective. It compares the Australian position with the European Union and United States to draw lessons from them, regarding how they have dealt with streaming and copyright. By critically examining the technological functionality of streaming and the failure of copyright enforcement against the masses, it argues for strengthening end-user rights. The rising popularity of streaming has resulted in a revolutionary change to how digital content, such as sound recordings, cinematographic films, and radio and television broadcasts, is used on the internet. Superseding the conventional method of downloading, using streaming to access digital content has challenged copyright law, because it is not clear whether end-user acts of streaming constitute copyright infringement. These prevailing grey areas between copyright and streaming often make end-users feel doubtful about accessing digital content through streaming. It is uncertain whether exercising the right of reproduction is appropriately suited for streaming, given the ambiguities of “embodiment” and scope of “substantial part”. Conversely, the fair dealing defence in Australia cannot be used aptly to defend end-users’ acts of streaming digital content, because end-users who use streaming to access digital content can rarely rely on the defence of fair dealing for the purposes of criticism or review, news reporting, parody or satire, or research or study. When considering a temporary copy exception, end-users are at risk of being held liable for infringement when using streaming to access a website that contains infringing digital content, even if they lack any knowledge about the content’s infringing nature. Moreover, the grey areas in circumventing geo-blocking have made end-users hesitant to access websites through streaming because it is not clear whether technological protection measures apply to geo-blocking. End-users have a severe lack of knowledge about whether they can use circumvention methods, such as virtual private networks, to access streaming websites without being held liable for copyright infringement. Despite the intricacies between copyright and access to digital content, the recently implemented website-blocking laws have emboldened copyright owners while suppressing end-users’ access to digital content. This is because the principles of proportionality and public interest have been given less attention when determining website-blocking injunctions.

Protoplasmic Streaming

Author: Noburo Kamiya

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 203

ISBN-13: 3709157501

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Streaming Architecture

Author: Ted Dunning

Publisher: "O'Reilly Media, Inc."

Published: 2016-05-10

Total Pages: 119

ISBN-13: 149195390X

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More and more data-driven companies are looking to adopt stream processing and streaming analytics. With this concise ebook, you’ll learn best practices for designing a reliable architecture that supports this emerging big-data paradigm. Authors Ted Dunning and Ellen Friedman (Real World Hadoop) help you explore some of the best technologies to handle stream processing and analytics, with a focus on the upstream queuing or message-passing layer. To illustrate the effectiveness of these technologies, this book also includes specific use cases. Ideal for developers and non-technical people alike, this book describes: Key elements in good design for streaming analytics, focusing on the essential characteristics of the messaging layer New messaging technologies, including Apache Kafka and MapR Streams, with links to sample code Technology choices for streaming analytics: Apache Spark Streaming, Apache Flink, Apache Storm, and Apache Apex How stream-based architectures are helpful to support microservices Specific use cases such as fraud detection and geo-distributed data streams Ted Dunning is Chief Applications Architect at MapR Technologies, and active in the open source community. He currently serves as VP for Incubator at the Apache Foundation, as a champion and mentor for a large number of projects, and as committer and PMC member of the Apache ZooKeeper and Drill projects. Ted is on Twitter as @ted_dunning. Ellen Friedman, a committer for the Apache Drill and Apache Mahout projects, is a solutions consultant and well-known speaker and author, currently writing mainly about big data topics. With a PhD in Biochemistry, she has years of experience as a research scientist and has written about a variety of technical topics. Ellen is on Twitter as @Ellen_Friedman.