Apache Flume: Distributed Log Collection for Hadoop is a focused guide for users looking to efficiently collect and transport log data into systems like Hadoop using Apache Flume. Its step-by-step approach covers the installation, configuration, and customization of Flume to optimize your data ingestion workflows. What this Book will help me do Effectively install and set up Apache Flume for your data ingestion processes. Understand Flume's architecture and capabilities, including sources, channels, and sinks. Learn to configure reliable data flow paths using failover and load-balancing techniques. Implement data routing and transformations during data flow using Flume. Optimize and monitor your Flume operations to enhance reliability and performance. Author(s) The authors of this book are experienced software engineers and data administrators with deep knowledge and practical expertise in implementing distributed log collection systems. Their teaching approach combines clear explanation with actionable examples to give you a hands-on learning experience. Who is it for? This book is ideal for software engineers, data engineers, and system administrators involved in handling and transporting datasets, especially those with a focus on Hadoop. If you are seeking to understand or optimize Apache Flume for your data processing pipeline, this book will guide you from beginner-friendly setup to advanced customization, helping to enhance your workflows.