Data Engineering with AWS: Acquire the skills to design and build AWS-based data transformation pipelines like a pro

by Gareth Eagar

Looking to revolutionize your data transformation game with AWS? Look no further! From strong foundations to building complex data engineering pipelines, our expert-led manual has got you covered. This book, authored by a seasoned senior data architect with 25 years of experience, aims to help you achieve proficiency in using the AWS ecosystem for data engineering. This updated edition provides a comprehensive, hands-on approach to learning data engineering concepts and the essential AWS services required to design and implement effective data pipelines. You'll begin by reviewing the key concepts and essential AWS tools in a data engineer's toolkit and get acquainted with modern data management approaches. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how the transformed data is used by various data consumers. You’ll find out how to ensure strong data governance and also learn about populating data marts and data warehouses along with how a data lakehouse fits into the picture. Later, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. Then, you'll explore how the power of machine learning and artificial intelligence can be used to draw new insights from data. In the final chapters, you'll discover transactional data lakes, data mesh, and how to build a cutting-edge data platform on AWS By the end of this AWS book, you'll be able to execute data engineering tasks and implement a data pipeline on AWS like a pro! This book is for data engineers, data analysts, and data architects who are new to AWS and looking to extend their skills to the AWS cloud. Anyone new to data engineering who wants to learn about the foundational concepts, while gaining practical experience with common data engineering services on AWS, will also find this book useful. A basic understanding of big data-related topics and Python coding will help you get the most out of this book, but it’s not a prerequisite. Familiarity with the AWS console and core services will also help you follow along. (N.B. Additional chapters to be confirmed upon publication)

636 pages, Paperback

Published October 31, 2023