Practical Data Science Engineering: Building Reusable Workflows and Pipelines in Python

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Amazon Pages: 446, Hardcover, Deepsim Press
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Pages: 446, Hardcover, Deepsim Press

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  • 9781067747527

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DATA PIPELINES A Practical Guide: Building Reliable ELT Workflows with Python, SQL, and Orchestration

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MODERN Data ENGINEERING WITH PYTHON: Building Reliable ETL Pipelines, Automated Workflows, and...

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Advanced Data Science Systems Engineering: Building Reproducible, Scalable, and Production-Ready in Python

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