Apache Kafka – Building Data Streaming Applications

Key FeaturesBuild efficient real-time streaming applications in Apache Kafka to process 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 concepts in Apache Kafka with pracitcal examples Book DescriptionThis book is a comprehensive guide on designing and architecting enterprise-grade streaming applications using Apache Kafka and other Big Data tools. It includes some of the best practices of building such applications, and tackles some of the common challenges like how to use Kafka efficiently and handle high data volumes with ease. This book will first take you through understand types messaging system and then proceed with a thorough introduction to Apache Kafka and its internal details. The second part of the book will take 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 the more advance 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 designing 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 & 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 Senior Technical Architect at DataMetica Solution Pvt Ltd. He has approximately 11 years of experience in data management, working as a Data Architect and Product Architect. He has extensive experience in building effective ETL pipeline, Implementing Security over Hadoop and Provide Best possible solution to 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 Hadoop, Hadoop Security in various events. Manish has a Bachelor’s degree in Computer Science.https://in.linkedin.com/in/manish-kumar-2090b8119Chanchal Singh is a Software Engineer at DataMetica Solution Pvt Ltd. He has over 3 years of experience in Product Development & Architect Design working as a Product Developer, Data Engineer, Team Lead. He has enough experience on different technologies like Hadoop, Spark, Storm, Kafka, Hive, Pig, Flume, Java, Spring and many more. He believes in sharing knowledge and motivating others for innovation. He is Co-Organizer of Big Data Meetup-Pune Chapter. He has been recognizing for putting innovative ideas into organization. He received Bachelor degree in Information Technology from University of Mumbai and Master degree in Computer Application from Amity University.https://in.linkedin.com/in/chanchal-singh-5046a968

Author: Manish Kumar

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