You're reading from Data Engineering with AWS - Second Edition

Product type Book

Published in Oct 2023

Publisher Packt

ISBN-13 9781804614426

Pages 636 pages

Edition 2nd Edition

Languages

Concepts

Data Engineering

Author (1):

Gareth Eagar

Table of Contents (24) Chapters

Preface

Section 1: AWS Data Engineering Concepts and Trends

An Introduction to Data Engineering

Data Management Architectures for Analytics

The AWS Data Engineer’s Toolkit

Data Governance, Security, and Cataloging

Section 2: Architecting and Implementing Data Engineering Pipelines and Transformations

Architecting Data Engineering Pipelines

Ingesting Batch and Streaming Data

Transforming Data to Optimize for Analytics

Identifying and Enabling Data Consumers

A Deeper Dive into Data Marts and Amazon Redshift

Orchestrating the Data Pipeline

Section 3: The Bigger Picture: Data Analytics, Data Visualization, and Machine Learning

Ad Hoc Queries with Amazon Athena

Visualizing Data with Amazon QuickSight

Enabling Artificial Intelligence and Machine Learning

Section 4: Modern Strategies: Open Table Formats, Data Mesh, DataOps, and Preparing for the Real World

Building Transactional Data Lakes

Implementing a Data Mesh Strategy

Building a Modern Data Platform on AWS

Wrapping Up the First Part of Your Learning Journey

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Index

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.

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