Book Image

Data Engineering with AWS - Second Edition

By : Gareth Eagar
5 (1)
Book Image

Data Engineering with AWS - Second Edition

5 (1)
By: Gareth Eagar

Overview of this book

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 revised edition provides updates in every chapter to cover the latest AWS services and features, takes a refreshed look at data governance, and includes a brand-new section on building modern data platforms which covers; implementing a data mesh approach, open-table formats (such as Apache Iceberg), and using DataOps for automation and observability. You'll begin by reviewing the key concepts and essential AWS tools in a data engineer's toolkit and getting acquainted with modern data management approaches. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how that transformed data is used by various data consumers. You’ll learn how to ensure strong data governance, and about populating data marts and data warehouses along with how a data lakehouse fits into the picture. After that, 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 meshes, 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!
Table of Contents (24 chapters)
Section 1: AWS Data Engineering Concepts and Trends
Section 2: Architecting and Implementing Data Engineering Pipelines and Transformations
Section 3: The Bigger Picture: Data Analytics, Data Visualization, and Machine Learning
Section 4: Modern Strategies: Open Table Formats, Data Mesh, DataOps, and Preparing for the Real World
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Data Engineering with AWS, Second Edition: Acquire the skills to design and build cloud-based data transformation pipelines like a pro using AWS

Welcome to Packt Early Access. We’re giving you an exclusive preview of this book before it goes on sale. It can take many months to write a book, but our authors have cutting-edge information to share with you today. Early Access gives you an insight into the latest developments by making chapter drafts available. The chapters may be a little rough around the edges right now, but our authors will update them over time.You can dip in and out of this book or follow along from start to finish; Early Access is designed to be flexible. We hope you enjoy getting to know more about the process of writing a Packt book.

  1. Chapter 1: An Introduction to Data Engineering
  2. Chapter 2: Data Management Architectures for Analytics
  3. Chapter 3: The AWS Data Engineer’s Toolkit
  4. Chapter 4: Data Cataloging, Security, and Governance...