Data Engineering with Google Cloud Platform: A practical guide to operationalizing scalable data analytics systems on GCP

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

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Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems

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Data Engineering with Azure Databricks: Design, build, and optimize scalable data pipelines and analytics solutions with Azure Databricks

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Analytics Engineering With SQL and Dbt: Building Meaningful Data Models at Scale

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