Top 10 Best Data Engineering

of November 2024
1
Best ChoiceBest Choice
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable,
10
Exceptional
View on Amazon
2
Best ValueBest Value
Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable
9.9
Exceptional
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3
97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts
9.8
Exceptional
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4
Data Engineering with Python: Work with massive datasets to design data models
Packt Publishing
Packt Publishing
9.7
Exceptional
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5
Data Science on AWS: Implementing End-to-End, Continuous AI and Machine
O'Reilly Media
O'Reilly Media
9.6
Exceptional
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6
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and
Cambridge University Press
Cambridge University Press
9.5
Excellent
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7
Feature Engineering for Machine Learning: Principles and Techniques for Data
O'Reilly Media
O'Reilly Media
9.4
Excellent
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8
Data Engineering on Azure
9.3
Excellent
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9
Data Engineering with AWS: Learn how to design and build cloud-based data
9.2
Excellent
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10
Data Lake Analytics on Microsoft Azure: A Practitioner's Guide to Big Data
Apress
Apress
9.1
Excellent
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About Data Engineering

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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way

97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts

Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python

Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Data Engineering on Azure

Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS

Data Lake Analytics on Microsoft Azure: A Practitioner's Guide to Big Data Engineering

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