1. Serverless ETL and Analytics with AWS Glue
Written by renowned experts Vishal Pathak, Subramanya Vajiraya, Noritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, and Ishan Gaur, this book serves as a comprehensive reference guide to mastering AWS Glue. The authors offer insights into utilizing Glue for Extract, Transform, and Load (ETL) and analytics, which are pivotal for today’s data-driven applications. With real-world examples and best practices, readers will learn how to efficiently leverage AWS Glue’s features for streamlined data workflows. This guide is a must-have for anyone aiming to improve their cloud analytics capabilities.
2. Building Scalable Data Lakes with AWS
In this essential guide by Greyson Chesterfield, readers will uncover how to architect and manage massive data lakes using AWS technologies like S3, Glue, and Athena. The author emphasizes the importance of scalable data infrastructure in modern data analytics, making this book vital for data engineers and architects. Chesterfield provides step-by-step approaches to implementing data lakes that enhance analytical capabilities, ensuring readers can successfully navigate the complexities of big data storage and analysis on AWS.
3. Handbook: AWS Glue
Sabyasachi Paul’s “Handbook: AWS Glue” is a dedicated guide for developers looking to master AWS Glue functionalities. This book is packed with practical tips, code snippets, and best practices that are essential for anyone developing data integration solutions on AWS. Paul’s research-backed approach offers clarity on complex topics such as data cataloging and job scheduling, making it an invaluable resource for developers who wish to enhance their AWS Glue skills.
4. AWS Glue Tutorial (#aws-analytics-services)
Christopher Adamson’s tutorial is perfect for those who are looking to dive deep into the world of AWS analytics services. Priced at an accessible $4.99, this book provides concise, actionable insights into implementing AWS Glue in practical scenarios. Adamson employs an easy-to-follow style that demystifies the complexities of data integration, making it a great starting point for beginners and a handy reference for seasoned users alike.
5. AWS Glue Developer Guide
This extensive guide produced by the AWS documentation team is specifically written for developers looking to maximize their use of AWS Glue. It covers everything from creating ETL jobs to managing data sources, making it essential for anyone involved in data engineering on AWS. The developer guide’s thorough explanations and technical depth will empower data professionals to harness the full potential of AWS Glue in their projects.
6. AWS Glue A Complete Guide – 2021 Edition
This comprehensive guide delves deeper into AWS Glue’s capabilities, providing insights into automation and scaling within the AWS ecosystem. The Art of Service’s compilation includes practical scenarios and case studies, making it a hands-on resource for data engineers. Although its price may seem steep, the book’s content justifies the investment, as it is packed with strategies to optimize AWS Glue usage for organizations aiming to thrive in the cloud era.
7. AWS for Solutions Architects
For aspiring solutions architects, this book by Saurabh Shrivastava et al. is a definitive guide to AWS Solutions Architecture. It details a range of design patterns and architectures essential for migrating to and scaling in the cloud. The collaborative insights offered by the authors present a broad perspective on utilizing AWS Glue within the architecting process—making it a must-read for anyone looking to develop robust, scalable solutions on AWS.
8. Quickstart To AWS Glue: Serverless Data Integration
Tech Quickstart’s “Quickstart to AWS Glue” presents a pragmatic approach to using AWS Glue for serverless data integration. This guide emphasizes speed and efficiency, making it ideal for those who prefer a hands-on approach to learning. With simple tutorials and easy-to-understand figures, it provides an ideal pathway for new developers looking to get started on their AWS Glue journey.
9. Troubleshooting AWS Glue Job Failures
Harry Quinn’s guide focuses on one of the main challenges developers face—troubleshooting. This book describes common pitfalls in AWS Glue jobs and provides practical solutions for overcoming them. It’s an invaluable resource for data professionals who find themselves stuck or encountering faults in their ETL processes. Employers and team leaders would do well to ensure their staff has this critical troubleshooting guide at their disposal.
10. Data Engineering with AWS
Finally, Gareth Eagar’s “Data Engineering with AWS” is a must-read for designing and implementing data transformation pipelines on AWS. This book not only introduces readers to the key AWS services like Glue but also covers best practices for creating efficient and reliable data solutions. It’s a comprehensive reference for data engineers across various experience levels, offering both theoretical knowledge and practical tips.
