Preface

Hello and welcome! In today’s rapidly evolving data landscape, managing, migrating, and governing large-scale data systems are among the top priorities for data engineers. This book serves as a comprehensive guide to help you navigate these essential tasks, with a focus on three key pillars of modern data engineering:

• Hadoop and data warehouse migration: Organizations are increasingly moving from traditional Hadoop clusters and on-premises data warehouses to more scalable, cloud-based data platforms. This book walks you through the best practices, methodologies, and how to use the tools for migrating large-scale data systems, ensuring data consistency, minimal downtime, and scalable performance.
• Data lake operations: Building and maintaining a data lake in today’s multi-cloud, big data environment is complex and demands a strong operational strategy. This book covers how to ingest, transform, and manage data at scale using AWS services such as S3, Glue, and Athena. You will learn how to structure and maintain a robust data lake architecture that supports the varied needs of data analysts, data scientists, and business users alike.
• Data lake governance: Managing and governing your data lake involves more than just operational efficiency; it requires stringent security protocols, data quality controls, and compliance measures. With the explosion of data, it’s more important than ever to have clear governance frameworks in place. This book delves into the best practices for implementing governance strategies using services such as AWS Lake Formation, Glue, and other AWS security frameworks. You’ll also learn about setting up policies that ensure your data lake is compliant with industry regulations while maintaining scalability and flexibility.

This cookbook is tailored to data engineers who are looking to implement best practices and take their cloud data platforms to the next level. Throughout this book, you’ll find practical examples, detailed recipes, and real-world scenarios from the authors’ experience of working with complex data environments across different industries.

By the end of this journey, you will have a thorough understanding of how to migrate, operate, and govern your data platforms at scale, all while aligning with industry best practices and modern technological advancements.

So, let’s dive in and build the future of data engineering together!