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Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

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AI Engineering: Building Applications with Foundation Models

AI Engineering: Building Applications with Foundation Models

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

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

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Code: The Hidden Language of Computer Hardware and Software

Code: The Hidden Language of Computer Hardware and Software

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The Art of Doing Science and Engineering: Learning to Learn

The Art of Doing Science and Engineering: Learning to Learn

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The Beginner's Guide to Engineering: Computer Engineering

The Beginner's Guide to Engineering: Computer Engineering

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Software Engineering for Data Scientists: From Notebooks to Scalable Systems

Software Engineering for Data Scientists: From Notebooks to Scalable Systems

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

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

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Mastering the Data Paradox: Key to Winning in the AI Age

Mastering the Data Paradox: Key to Winning in the AI Age

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Machine Learning Engineering

Machine Learning Engineering

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AWS Certified Data Engineer Study Guide: Associate (DEA-C01) Exam (Sybex Study Guide)

AWS Certified Data Engineer Study Guide: Associate (DEA-C01) Exam (Sybex Study Guide)

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Financial Data Engineering: Design and Build Data-Driven Financial Products

Financial Data Engineering: Design and Build Data-Driven Financial Products

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Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL

Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL

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

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

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Data Engineering with AWS: Acquire the skills to design and build AWS-based data transformation pipelines like a pro

Data Engineering with AWS: Acquire the skills to design and build AWS-based data transformation pipelines like a pro

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