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Data Engineering with AWS - Second Edition

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

Other Books You May Enjoy

Index

Technical requirements

To complete the hands-on exercises included in this chapter, you will need access to an AWS account in which you have administrator privileges (as covered in Chapter 1, An Introduction to Data Engineering).

You can find the code and other content related to this chapter in the GitHub repository at the following link: https://github.com/PacktPublishing/Data-Engineering-with-AWS-2nd-edition/tree/main/Chapter02.

The rest of the chapter is locked

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Authors (1)

Gareth Eagar

Gareth Eagar has over 25 years of experience in the IT industry, starting in South Africa, working in the United Kingdom for a while, and now based in the USA. Having worked at AWS since 2017, Gareth has broad experience with a variety of AWS services, and deep expertise around building data platforms on AWS. While Gareth currently works as a Solutions Architect, he has also worked in AWS Professional Services, helping architect and implement data platforms for global customers. Gareth frequently speaks on data related topics.

See other products by Gareth Eagar

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