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

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Pages: 352, Paperback, Independently published

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Deepsim Press

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

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Deepsim Press

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

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Advanced Data Engineering Projects with Python, SQL & Cloud: Build Scalable Pipelines,...

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Spark and Big Data Processing with R Python: Building Scalable Pipelines Sparklyr, PySpark, Databricks

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