This document is designed to be read in parallel with the code in the pyspark-template-project repository. Together, these constitute what we consider to be a 'best practices' approach to writing ETL ...
Book Abstract: Think big about your data! PySpark brings the powerful Spark big data processing engine to the Python ecosystem, letting you seamlessly scale up your data tasks and create ...
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In this study, we delve into the realm of efficient Big Data Engineering and Extract, Transform, Load (ETL) processes within the healthcare sector, leveraging the robust foundation provided by the ...
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