{"product_id":"9781484214800","title":"Pro Spark Streaming: The Zen of Real-Time Analytics Using Apache Spark","description":"\u003ch1\u003ePro Spark Streaming: The Zen of Real-Time Analytics Using Apache Spark\u003c\/h1\u003e \u003ch2\u003eNabi, Zubair\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eLearn 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 \u003cem\u003ePro Spark Streaming\u003c\/em\u003e include social media, the sharing economy, finance, online advertising, telecommunication, and IoT. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eIn 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. \u003cem\u003ePro Spark Streaming \u003c\/em\u003eby 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. \u003cem\u003ePro Spark Streaming\u003c\/em\u003ewill act as the bible of Spark Streaming.\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cli\u003eDiscover Spark Streaming application development and best practices\u003c\/li\u003e\n\u003cli\u003eWork with the low-level details of discretized streams\u003c\/li\u003e\n\u003cli\u003eOptimize production-grade deployments of Spark Streaming via configuration recipes and instrumentation using Graphite, collectd, and Nagios\u003c\/li\u003e\n\u003cli\u003eIngest data from disparate sources including MQTT, Flume, Kafka, Twitter, and a custom HTTP receiver\u003c\/li\u003e\n\u003cli\u003eIntegrate and couple with HBase, Cassandra, and Redis\u003c\/li\u003e\n\u003cli\u003eTake advantage of design patterns for side-effects and maintaining state across the Spark Streaming micro-batch model\u003c\/li\u003e\n\u003cli\u003eImplement real-time and scalable ETL using data frames, SparkSQL, Hive, and SparkR\u003c\/li\u003e\n\u003cli\u003eUse streaming machine learning, predictive analytics, and recommendations\u003c\/li\u003e\n\u003cli\u003eMesh batch processing with stream processing via the Lambda architecture\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cp\u003e\u003c\/p\u003e\u003cdiv\u003e\u003cp\u003eData scientists, big data experts, BI analysts, and data architects.\u003c\/p\u003e\u003c\/div\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Apress\u003c\/p\u003e \u003cp\u003ePublication Date: 2016-06-14\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9781484214800\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4842-1479-4\u003c\/p\u003e \u003cp\u003eDimensions: 254cm x178cm\u003c\/p\u003e \u003cp\u003ePages: 230\u003c\/p\u003e ","brand":"Apress","offers":[{"title":"Default Title","offer_id":47680015138956,"sku":"9781484214800","price":34.19,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781484214800.jpg?v=1776574742","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781484214800","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}