Building Data Streaming Applications with Apache Kafka oleh Chanchal Singh

Key FeaturesBuild efficient real-time streaming applications in Apache Kafka to process data streams of dataMaster the core Kafka APIs to set up Apache Kafka clusters and start writing message producers and consumersA comprehensive guide to help you get a solid grasp of the Apache Kafka concepts in Apache Kafka with pracitcalpractical examplesBook DescriptionApache 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.What you will learnLearn the basics of Apache Kafka from scratchUse the basic building blocks of a streaming applicationDesign effective streaming applications with Kafka using Spark, Storm &, and HeronUnderstand the importance of a low -latency , high- throughput, and fault-tolerant messaging systemMake effective capacity planning while deploying your Kafka ApplicationUnderstand and implement the best security practicesAbout the AuthorManish Kumar is a Technical Architect at DataMetica Solution Pvt. Ltd.. He has approximately 11 years, experience in data management, working as a Data Architect and Product Architect. He has extensive experience in building effective ETL pipelines, implementing security over Hadoop, and providing the best possible solutions to Data Science problems. Before joining the world of big data, he worked as an Tech Lead for Sears Holding, India. He is a regular speaker on big data concepts such as Hadoop and Hadoop Security in various events. Manish has a Bachelors degree in Information Technology.Chanchal Singh is a Software Engineer at DataMetica Solution Pvt. Ltd.. He has over three years experience in product development and architect design, working as a Product Developer, Data Engineer, and Team Lead. He has a lot of experience with different technologies such as Hadoop, Spark, Storm, Kafka, Hive, Pig, Flume, Java, Spring, and many more. He believes in sharing knowledge and motivating others for innovation. He is the co-organizer of the Big Data Meetup - Pune Chapter.He has been recognized for putting innovative ideas into organizations. He has a Bachelors degree in Information Technology from the University of Mumbai and a Masters degree in Computer Application from Amity University. He was also part of the Entrepreneur Cell in IIT Mumbai.Table of ContentsIntroduction to Messaging SystemIntroducing Kafka – The Distributed Messaging PlatformDeep Dive into Kafka ProducersDeep Dive into Kafka ConsumersBuilding Spark Streaming Applications with KafkaBuilding Storm Applications with KafkaUsing Kafka with Confluent PlatformBuilding ETL Pipelines Using KafkaBuilding Streaming Applications Using Kafka StreamsKafka Cluster DeploymentUsing Kafka in Big Data ApplicationsSecuring KafkaStreaming Applications Design Considerations