Organizations, regardless of sizes and types, nowadays deal with ever-increasing amounts of data. This voluminous data is too complex to comprehend manually; requires effective solutions to process ...

What is this book about? Modern extract, transform, and load (ETL) pipelines for data engineering have favored the Python language for its broad range of uses and a large assortment of tools, ...

This document is describing the project structure and local env setup of the ETL job for Spark JOB. Assuming that the $SPARK_HOME environment variable points to your ...

In the ever-expanding landscape of data-driven decision-making, the importance of robust ETL (Extract, Transform, Load) solutions cannot be overstated. Python, with its versatility and extensive ...