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Cloud Data Engineering

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May 1, 2024 Updated June 29, 2025 17 minute read
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Cloud Data Engineering is a field of data engineering that focuses on building and managing data pipelines in the cloud. It involves designing, developing, and maintaining data pipelines that can process large amounts of data in a scalable and reliable way. Cloud Data Engineering is increasingly important as more and more businesses move their data and applications to the cloud.

Benefits of Learning Cloud Data Engineering

There are many benefits to learning Cloud Data Engineering, including:

Path to Cloud Data Engineering

Take the first step.
We've curated six courses to help you on your path to Cloud Data Engineering. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

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Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Cloud Data Engineering.
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Designing Data-Intensive Applications
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Provides a comprehensive introduction to the concepts and techniques of designing and building data-intensive applications. It covers topics such as data modeling, data storage, and data processing. It valuable resource for aspiring cloud data engineers.
Designing Data-Intensive Applications: The Big...
Paperback
$$
Designing Data-Intensive Applications: The Big...
Kindle Edition
$$
Cover image
MCSA / MCSE: Windows Server 2003 Network...
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Presents a collection of common patterns and best practices for designing and implementing data engineering solutions. It covers topics such as data ingestion, processing, storage, and analytics.
MCSA/MCSE: Windows Server 2003 Network...
Hardcover
$
Microsoft Azure
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Provides a comprehensive overview of cloud data engineering with Microsoft Azure. It covers topics such as data storage, processing, and analytics services offered by Azure.
Microsoft Azure
Paperback
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Microsoft Azure
Kindle Edition
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Cover image
Big Data Analytics with Java
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While this book focuses on Apache Hadoop, a popular framework for big data processing, it provides a solid foundation for understanding the principles and techniques involved in cloud data engineering. Hadoop remains a widely used tool in this domain.
Big Data Analytics with Java: Data analysis,...
Paperback
$$$
Big Data Analytics with Java: Data analysis,...
Kindle Edition
$$
Relevant careers
Data Engineer
Cloud Architect
Data Scientist
Software Engineer
Database Administrator
Technical Consultant
Data Analyst
Project Manager
Business Analyst
IT Manager
Related topics
Big Data
Data Analytics
Cloud Computing
Data Lake
Machine Learning
Data Engineering
Database Management
Data Visualization
Data Science
Artificial Intelligence
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