Building Big Data Pipelines with Apache Beam is the essential guide for mastering data processing using Apache Beam. This book covers both the basics and advanced concepts, from implementing pipelines to extending functionalities with custom I/O connectors. By the end, you'll be equipped to build scalable and reusable big data solutions. What this Book will help me do Understand the core principles of Apache Beam and its architecture. Learn how to create efficient data processing pipelines for diverse scenarios. Master the use of stateful processing for real-time data handling. Gain skills in using Beam's portability features for various languages. Explore advanced functionalities like creating custom I/O connectors. Author(s) None Lukavský is a seasoned data engineer with extensive experience in big data technologies and Apache Beam. Having worked on innovative data solutions across industries, None brings hands-on insights and practical expertise to this book. Their approach to teaching ensures readers can directly apply concepts to real-world scenarios. Who is it for? This book is designed for professionals involved in big data, such as data engineers, analysts, and scientists. It is particularly suited for those with an intermediate level of understanding of Java, aiming to expand their skill set to include advanced data pipeline construction. Whether you're stepping into Apache Beam for the first time or looking to deepen your expertise, this book offers valuable, actionable insights.