Data Engineering is the hottest career right now!

Here are 3 books on 3 levels to learn.

• Overview
• Applications
• Systems

for a deep dive into the topic.

Data Engineering Cookbook

by Andreas Kretz

The cookbook isn’t about training, it provides an overview.

• Linux to Docker
• Hadoop to Cloud

with case studies from many big companies today.

This builds a learning roadmap for modern data engineering.

👉 Data Engineering Cookbook

Effective Pandas

by Matt Harrison

Pandas is a staple across data professions

This book teaches:

• Serialization
• Aggregation
• Manipulation
• Visualization
• Pivot tables
• Joins

and much more. (Even if you know Pandas)

👉 Effective Pandas

Designing Data-Intensive Applications

by Martin Kleppmann

• How do Google & Twitter store data efficiently and safely?
• Use relational or graph-like data models?
• What about distributed systems?

This book will teach you the systems!

👉 Designing Data-Intensive Applications

Conclusion

Data Engineering is hotter than data science right now!

Learn the ins and outs from these books:

• Data Engineering Cookbook
• Effective Pandas
• Designing Data-Intensive Applications

Different levels for different skills for everyone in this interesting field.