9781484214800 - Pro Spark Streaming: The Zen of Real-Time Analytics Using Apache Spark de Nabi, Zubair (11 resultados)

Condición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Condición: New. In English.

Paperback. Condición: New.

Condición: New.

Paperback. Condición: Brand New. 249 pages. 9.75x7.00x0.50 inches. In Stock.

Condición: New.

Taschenbuch. Condición: Neu. 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 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 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 ForAPress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 252 pp. Englisch.

Taschenbuch. Condición: 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.

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 484.

Kartoniert / Broschiert. Condición: 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.

Taschenbuch. Condición: 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 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 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.