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

Osoby które kupowały "Building Data Streaming Applications with Apache Kafka", wybierały także:

• Databricks. Kurs video. Wst 148,98 zÅ‚, (59,59 zÅ‚ -60%)
• Apache NiFi. Kurs video. Automatyzacja przep 148,98 zÅ‚, (59,59 zÅ‚ -60%)
• Web scraping. Kurs video. Zautomatyzowane pozyskiwanie danych z sieci 139,00 zÅ‚, (55,60 zÅ‚ -60%)
• Data Science w Pythonie. Kurs video. Przetwarzanie i analiza danych 149,00 zÅ‚, (67,05 zÅ‚ -55%)
• Excel 2013. Kurs video. Poziom drugi. Przetwarzanie i analiza danych 79,00 zÅ‚, (35,55 zÅ‚ -55%)

Spis treści

Building Data Streaming Applications with Apache Kafka. Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark eBook -- spis treści

• 1. Introduction to Messaging System
• 2. Introducing Kafka – The Distributed Messaging Platform
• 3. Deep Dive into Kafka Producers
• 4. Deep Dive into Kafka Consumers
• 5. Building Spark Streaming Applications with Kafka
• 6. Building Storm Applications with Kafka
• 7. Using Kafka with Confluent Platform
• 8. Building ETL Pipelines Using Kafka
• 9. Building Streaming Applications Using Kafka Streams
• 10. Kafka Cluster Deployment
• 11. Using Kafka in Big Data Applications
• 12. Securing Kafka
• 13. Streaming Applications Design Considerations