Advanced Content Delivery, Streaming, and Cloud Services, Pathan Mukaddim
Автор: Bing Benny Название: Next-Generation Video Coding and Streaming ISBN: 1118891309 ISBN-13(EAN): 9781118891308 Издательство: Wiley Рейтинг: Цена: 14248.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reviews the new High Efficiency Video Coding (HEVC) standard and advancements in adaptive streaming technologies for use in broadband networks and the Internet This book describes next-generation video coding and streaming technologies with a comparative assessment of the strengths and weaknesses.
Автор: Jackson Название: Streaming (RLE Edu L Sociology of Education) ISBN: 1138008265 ISBN-13(EAN): 9781138008267 Издательство: Taylor&Francis Рейтинг: Цена: 7654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this volume a streamed school is studied in detail and parents? responses are recorded. Eleven plus is (and has been) under criticism, but many children are selected by a `seven plus? because they are streamed into A, B or C classes. Few children escape the label once it is pinned on them ? less than six in one hundred change their stream. The study shows that on a national sample the date on which a child is born ? irrespective of his ability ? affects his or her stream at the age of 7 and his results at eleven plus. Finally ten streamed schools are compared, academically and socially, with ten unstreamed schools. In the final chapters the author makes practical proposals by which primary schools could recognise and increase the flow of gifted children.
Описание: The home network interconnects the Consumer Electronic (CE) devices in the home, and the individual CE-devices incorporate the chips to realize a ubiquitous streaming of video streams over this network.This book provides a comprehensive overview of the challenges that face us.
Автор: Nabi Название: Pro Spark Streaming ISBN: 1484214803 ISBN-13(EAN): 9781484214800 Издательство: Springer Рейтинг: Цена: 3766.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. Pro Spark Streaming walks you through end-to-end real-time application development using real-world applications, data, and code. Taking an application-first approach, each chapter introduces use cases from a specific industry and uses publicly available datasets from that domain to unravel the intricacies of production-grade design and implementation. The domains covered in the book include social media, the sharing economy, finance, online advertising, telecommunication, and IoT. In the last few years, Spark has become synonymous with big data processing. DStreams enhance the underlying Spark processing engine to support streaming analysis with a novel micro-batch processing model. Pro Spark Streaming by Zubair Nabi will enable you to become a specialist of latency sensitive applications by leveraging the key features of DStreams, micro-batch processing, and functional programming. To this end, the book includes ready-to-deploy examples and actual code. Pro Spark Streaming will act as the bible of Spark Streaming.What You'll Learn:Spark Streaming application development and best practicesLow-level details of discretized streamsThe application and vitality of streaming analytics to a number of industries and domainsOptimization of production-grade deployments of Spark Streaming via configuration recipes and instrumentation using Graphite, collectd, and NagiosIngestion of data from disparate sources including MQTT, Flume, Kafka, Twitter, and a custom HTTP receiverIntegration and coupling with HBase, Cassandra, and RedisDesign patterns for side-effects and maintaining state across the Spark Streaming micro-batch modelReal-time and scalable ETL using data frames, SparkSQL, Hive, and SparkRStreaming machine learning, predictive analytics, and recommendationsMeshing batch processing with stream processing via the Lambda architectureWho This Book Is For:
The audience includes data scientists, big data experts, BI analysts, and data architects.
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