How Long to Read Building Data Streaming Applications with Apache Kafka

How Long Does it Take to Read Building Data Streaming Applications with Apache Kafka?

It takes the average reader 4 hours and 38 minutes to read Building Data Streaming Applications with Apache Kafka by Manish Kumar

Assuming a reading speed of 250 words per minute. Learn more

Description

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

How long is Building Data Streaming Applications with Apache Kafka?

Building Data Streaming Applications with Apache Kafka by Manish Kumar is 269 pages long, and a total of 69,671 words.

This makes it 91% the length of the average book. It also has 85% more words than the average book.

How Long Does it Take to Read Building Data Streaming Applications with Apache Kafka Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 20 minutes to read Building Data Streaming Applications with Apache Kafka aloud.

What Reading Level is Building Data Streaming Applications with Apache Kafka?

Building Data Streaming Applications with Apache Kafka is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Building Data Streaming Applications with Apache Kafka?

Building Data Streaming Applications with Apache Kafka by Manish Kumar is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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