Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Building Data Streaming Applications with Apache Kafka

    Posted By: AlenMiler
    Building Data Streaming Applications with Apache Kafka

    Building Data Streaming Applications with Apache Kafka by Manish Kumar
    English | 18 Aug. 2017 | ISBN: 1787283984 | ASIN: B071NDMV86 | 278 Pages | AZW3 | 3.11 MB

    Design 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