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 ...

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 ...

An open-source Python library for simplifying local testing of Databricks workflows using PySpark and Delta tables. This library enables seamless testing of PySpark processing logic outside Databricks ...

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 ...