{"product_id":"9781784397401","title":"Real-Time Big Data Analytics","description":"\u003cp\u003e\u003cb\u003eDesign, process, and analyze large sets of complex data in real time\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout This Book\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eGet acquainted with transformations and database-level interactions, and ensure the reliability of messages processed using Storm\u003c\/li\u003e\n\u003cli\u003eImplement strategies to solve the challenges of real-time data processing\u003c\/li\u003e\n\u003cli\u003eLoad datasets, build queries, and make recommendations using Spark SQL\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cp\u003eIf you are a Big Data architect, developer, or a programmer who wants to develop applications\/frameworks to implement real-time analytics using open source technologies, then this book is for you.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplore big data technologies and frameworks\u003c\/li\u003e\n\u003cli\u003eWork through practical challenges and use cases of real-time analytics versus batch analytics\u003c\/li\u003e\n\u003cli\u003eDevelop real-word use cases for processing and analyzing data in real-time using the programming paradigm of Apache Storm\u003c\/li\u003e\n\u003cli\u003eHandle and process real-time transactional data\u003c\/li\u003e\n\u003cli\u003eOptimize and tune Apache Storm for varied workloads and production deployments\u003c\/li\u003e\n\u003cli\u003eProcess and stream data with Amazon Kinesis and Elastic MapReduce\u003c\/li\u003e\n\u003cli\u003ePerform interactive and exploratory data analytics using Spark SQL\u003c\/li\u003e\n\u003cli\u003eDevelop common enterprise architectures\/applications for real-time and batch analytics\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eIn Detail\u003c\/b\u003e\u003cp\u003eEnterprise has been striving hard to deal with the challenges of data arriving in real time or near real time.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAlthough there are technologies such as Storm and Spark (and many more) that solve the challenges of real-time data, using the appropriate technology\/framework for the right business use case is the key to success. This book provides you with the skills required to quickly design, implement and deploy your real-time analytics using real-world examples of big data use cases.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFrom the beginning of the book, we will cover the basics of varied real-time data processing frameworks and technologies. We will discuss and explain the differences between batch and real-time processing in detail, and will also explore the techniques and programming concepts using Apache Storm.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMoving on, we'll familiarize you with “Amazon Kinesis” for real-time data processing on cloud. We will further develop your understanding of real-time analytics through a comprehensive review of Apache Spark along with the high-level architecture and the building blocks of a Spark program.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eYou will learn how to transform your data, get an output from transformations, and persist your results using Spark RDDs, using an interface called Spark SQL to work with Spark.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAt the end of this book, we will introduce Spark Streaming, the streaming library of Spark, and will walk you through the emerging Lambda Architecture (LA), which provides a hybrid platform for big data processing by combining real-time and precomputed batch data to provide a near real-time view of incoming data.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStyle and approach\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThis step-by-step is an easy-to-follow, detailed tutorial, filled with practical examples of basic and advanced features.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eEach topic is explained sequentially and supported by real-world examples and executable code snippets.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":47137036927216,"sku":"9781784397401","price":35.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781784397401_p0.jpg?v=1763725746","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781784397401","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}