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

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Pages: 446, Paperback, Deepsim Press

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Brand Deepsim Press
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  • 9781067747534

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Building Scalable Data Pipelines: Practical Engineering with SQL, Python, and Spark

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

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

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Python for Data Engineering: Build Scalable Pipelines, ETL Systems, and Automate Workflows

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