LEADER 04126nam 2200517 450 001 9910796535803321 005 20170920053412.0 035 $a(CKB)4100000000880969 035 $a(MiAaPQ)EBC4981590 035 $a(WaSeSS)IndRDA00088831 035 $a(iGPub)PACKT0000591 035 $a(CaSebORM)9781787283985 035 $a(PPN)233408045 035 $a(EXLCZ)994100000000880969 100 $a20170831d2017 uy| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aBuilding data streaming applications with Apache Kafka $edesigning and deploying enterprise messaging queues /$fManish Kumar, Chanchal Singh 205 $a1st edition 210 1$aBirmingham :$cPackt,$d2017. 215 $a1 online resource (269 pages) $ccolor illustrations 300 $aIncludes index. 311 $a1-78728-398-4 311 $a1-78728-763-7 330 $aDesign and administer fast, reliable enterprise messaging systems with Apache Kafka About This Book Build efficient real-time streaming applications in Apache Kafka to process data streams of data Master the core Kafka APIs to set up Apache Kafka clusters and start writing message producers and consumers A comprehensive guide to help you get a solid grasp of the Apache Kafka concepts in Apache Kafka with pracitcalpractical examples Who This Book Is For If you want to learn how to use Apache Kafka and the different tools in the Kafka ecosystem in the easiest possible manner, this book is for you. Some programming experience with Java is required to get the most out of this book What You Will Learn Learn the basics of Apache Kafka from scratch Use the basic building blocks of a streaming application Design effective streaming applications with Kafka using Spark, Storm &, and Heron Understand the importance of a low -latency , high- throughput, and fault-tolerant messaging system Make effective capacity planning while deploying your Kafka Application Understand and implement the best security practices In Detail Apache Kafka is a popular distributed streaming platform that acts as a messaging queue or an enterprise messaging system. It lets you publish and subscribe to a stream of records, and process them in a fault-tolerant way as they occur. This book is a comprehensive guide to designing and architecting enterprise-grade streaming applications using Apache Kafka and other big data tools. It includes best practices for building such applications, and tackles some common challenges such as how to use Kafka efficiently and handle high data volumes with ease. This book first takes you through understanding the type messaging system and then provides a thorough introduction to Apache Kafka and its internal details. The second part of the book takes you through designing streaming application using various frameworks and tools such as Apache Spark, Apache Storm, and more. Once you grasp the basics, we will take you through more advanced concepts in Apache Kafka such as capacity planning and security. By the end of this book, you will have all the information you need to be comfortable with using Apache Kafka, and to design efficient streaming data applications with it. Style and approach A step-by ?step, comprehensive guide filled with practical and real- world examples Downloading the example code for this book. You can download the example code f... 606 $aInformation storage and retrieval systems 606 $aTelecommunication$xMessage processing 606 $aWeb sites$xDesign 606 $aAgile software development 615 0$aInformation storage and retrieval systems. 615 0$aTelecommunication$xMessage processing. 615 0$aWeb sites$xDesign. 615 0$aAgile software development. 676 $a006.8 700 $aManish Kumar$01565907 702 $aSingh$b Chanchal 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910796535803321 996 $aBuilding data streaming applications with Apache Kafka$93836001 997 $aUNINA