Skip to Main Content
Data Engineering with AWS
book

Data Engineering with AWS

by Gareth Eagar
December 2021
Beginner to intermediate content levelBeginner to intermediate
482 pages
11h 27m
English
Packt Publishing
Content preview from Data Engineering with AWS

Chapter 2: Data Management Architectures for Analytics

In Chapter 1, An Introduction to Data Engineering, we looked at the challenges introduced by ever-growing datasets, and how the cloud can help solve these analytical challenges. However, there are many different cloud services, open source frameworks, and architectures that can be used in analytical projects, depending on business requirements and objectives.

In this chapter, we will discuss how analytical technologies have evolved and introduce the key technologies and concepts that are foundational for building modern analytical architectures, irrespective of whether you build them on AWS or elsewhere.

If you have experience as a data engineer and have worked with enterprise data warehouses ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Data Engineering with AWS - Second Edition

Data Engineering with AWS - Second Edition

Gareth Eagar
Data Science on AWS

Data Science on AWS

Chris Fregly, Antje Barth
Data Engineering with Python and AWS Lambda LiveLessons

Data Engineering with Python and AWS Lambda LiveLessons

Noah Gift, Robert Jordan, Kennedy Behrman

Publisher Resources

ISBN: 9781800560413Supplemental Content