9781484214800 - pro spark streaming: the zen of real-time analytics using apache spark di nabi, zubair (18 risultati)
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Condizione: New. Num Pages: 249 pages, 7 black & white illustrations, 61 colour illustrations, biography. BIC Classification: UN; UTR. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 13. Weight in Grams: 485. . 2016. 1st ed. Paperback. . . . .
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Paperback. Condizione: Brand New. 249 pages. 9.75x7.00x0.50 inches. In Stock.
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Condizione: New. Num Pages: 249 pages, 7 black & white illustrations, 61 colour illustrations, biography. BIC Classification: UN; UTR. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 13. Weight in Grams: 485. . 2016. 1st ed. Paperback. . . . . Books ship from the US and Ireland.
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Pro Spark Streaming | The Zen of Real-Time Analytics Using Apache Spark | Zubair Nabi | Taschenbuch | xix | Englisch | 2016 | Apress | EAN 9781484214800 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]sprin…ger[dot]com | Anbieter: preigu.
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. This bookwalks 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 inPro Spark Streaminginclude 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 LearnDiscover Spark Streaming application development and best practicesWork with the low-level details of discretized streamsOptimize production-grade deployments of Spark Streaming via configuration recipes and instrumentation using Graphite, collectd, and NagiosIngest data from disparate sources including MQTT, Flume, Kafka, Twitter, and a custom HTTP receiverIntegrate and couple with HBase, Cassandra, and RedisTake advantage of design patterns for side-effects and maintaining state across the Spark Streaming micro-batch modelImplement real-time and scalable ETL using data frames, SparkSQL, Hive, and SparkRUse streaming machine learning, predictive analytics, and recommendationsMesh batch processing with stream processing via the Lambda architectureWho This Book Is ForData scientists, big data experts, BI analysts, and data architects. 252 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights the differences between traditional stream processing and the Spark Streaming micro-batch modelTargets real-world applications from multiple industry verticalsProvides an introduction to other popular Big…Data solutions, such as Apache Ka.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. This book walks you through end-to-end real-time application development using real-world app…lications, 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 Pro Spark Streaming 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 Streamingwill act as the bible of Spark Streaming.What You'll LearnDiscover Spark Streaming application development and best practicesWork with the low-level details of discretized streamsOptimize production-grade deployments of Spark Streaming via configuration recipes and instrumentation using Graphite, collectd, and NagiosIngest data from disparate sources including MQTT, Flume, Kafka, Twitter, and a custom HTTP receiverIntegrate and couple with HBase, Cassandra, and RedisTake advantage of design patterns for side-effects and maintaining state across the Spark Streaming micro-batch modelImplement real-time and scalable ETL using data frames, SparkSQL, Hive, and SparkRUse streaming machine learning, predictive analytics, and recommendationsMesh batch processing with stream processing via the Lambda architectureWho This Book Is ForSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 252 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. This bookwalks you through end-to-end real-time application development using real-world appli…cations, 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 inPro Spark Streaminginclude 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 Streamingwill act as the bible of Spark Streaming.What You'll LearnDiscover Spark Streaming application development and best practicesWork with the low-level details of discretized streamsOptimize production-grade deployments of Spark Streaming via configuration recipes and instrumentation using Graphite, collectd, and NagiosIngest data from disparate sources including MQTT, Flume, Kafka, Twitter, and a custom HTTP receiverIntegrate and couple with HBase, Cassandra, and RedisTake advantage of design patterns for side-effects and maintaining state across the Spark Streaming micro-batch modelImplement real-time and scalable ETL using data frames, SparkSQL, Hive, and SparkRUse streaming machine learning, predictive analytics, and recommendationsMesh batch processing with stream processing via the Lambda architectureWho This Book Is ForData scientists, big data experts, BI analysts, and data architects.
