Ready to take your ebooks to the next level with EPUB 3? This concise guide includes best practices and advice to help you navigate the format’s wide range of technologies and functionality. EPUB 3 is set to turn electronic publishing on its head with rich multimedia reading experiences and scripted interactivity, but this specification can be daunting to learn. This book provides you with a solid foundation. Written by people involved in the development of this specification, EPUB 3 Best Practices includes chapters that cover unique aspects of the EPUB publishing process, such as technology, content creation, and distribution. Get a comprehensive survey of accessible production features Learn new global language-support features, including right-to-left page progressions Embed content with EPUB 3’s new multimedia elements Make your content dynamic through scripting and interactive elements Work with publication and distribution metadata Create synchronized text and audio playback in reading systems Learn techniques for fixed and adaptive layouts

The new EPUB 3 specification from the IDPF incorporates a wide range of technologies and functionality that are set to revolutionize electronic publishing. The format is poised to make the static two-dimensional page a thing of the past, introducing the world to new rich multimedia reading experiences and scripted interactivity. But a specification that offers so much can be a daunting thing to learn. EPUB 3 Best Practices steps in to help fill the knowledge void. Authored by people involved in the development of the specification, and with extensive experience in electronic publishing, this guide will provide you with a solid foundation on which to begin developing your own EPUBs. Topics covered include: * A comprehensive survey of accessible production features and best practices * A walkthrough of the new global language support features * An introduction to the new multimedia elements and how to use them to embed content * A guide to best practices for authoring of interactive elements and scripting * A review of publication and distribution metadata * Techniques for fixed and adaptive layouts EPUB 3 Best Practices is a must-read for anyone looking to unleash the potential of the new format.

Although the digital revolution has made content available to more people than print books ever could, ebooks are still only as accessible as the foundation they’re built on—and all too often the foundation is weak. But that’s changing. With the introduction of EPUB 3, publishers now have the means to create a single rich data source for audiences of all reading abilities. Through practical tips and examples, Accessible EPUB 3 takes you inside the EPUB 3 format and explores how you can enrich and enhance content for all readers. Author Matt Garrish demystifies the process of making content easier to access, demonstrating how accessible practices are intertwined with standard content best practices. Among many techniques, this guide will teach you how to: Add structure and meaning to your publications to make them more usable by accessible technologies Tailor EPUB Navigation Documents for readers requiring either full or reduced navigation Create media overlays to synchronize human narration with text display Improve text-to-speech playback by adding SSML, PLS lexicons, and CSS3 Speech functionality

This book discusses the exciting new format that is set to unleash a content revolution in the publishing world. Laden with features the printed page could never offer--such as embedded multimedia and scripted interactivity--EPUB 3 will forever change what a book can be. This article walks you through the format and puts it in its place in the digital landscape, explaining why EPUB 3 is set to become the new global standard for ebooks as it also becomes the new accessible standard for ebooks.

With 50% new material reflecting current research and pedagogical perspectives, this indispensable course text and teacher resource is now in a thoroughly revised third edition. Leading educators provide a comprehensive picture of reading, writing, and oral language instruction in grades 5–12. Chapters present effective practices for motivating adolescent learners, fostering comprehension of multiple types of texts, developing disciplinary literacies, engaging and celebrating students' sociocultural assets, and supporting English learners and struggling readers. Case examples, lesson-planning ideas, and end-of-chapter discussion questions and activities enhance the utility of the volume. New to This Edition *Chapters on new topics: building multicultural classrooms, Black girls’ digital literacies, issues of equity and access, and creating inclusive writing communities. *New chapters on core topics: academic language, learning from multiple texts, and reading interventions. *Increased attention to issues of diversity, equity, and inclusion. *The latest knowledge about adolescents' in- and out-of-school literacies.

Highly practical and accessible, this indispensable book provides clear-cut strategies for improving K-12 writing instruction. The contributors are leading authorities who demonstrate proven ways to teach different aspects of writing, with chapters on planning, revision, sentence construction, handwriting, spelling, and motivation. The use of the Internet in instruction is addressed, and exemplary approaches to teaching English-language learners and students with special needs are discussed. The book also offers best-practice guidelines for designing an effective writing program. Focusing on everyday applications of current scientific research, the book features many illustrative case examples and vignettes.

Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth