1. How did you handle schema evolution in PySpark when reading data from Snowflake or S3? Schema evolution is handled using the mergeSchema option (for formats like Parquet). In Snowflake, we ...

Apache Spark has emerged as one of the most powerful tools for big data processing providing capabilities for handling vast datasets quickly and efficiently. It offers a unified analytics engine for ...

This README outlines a multi-phase Project aimed at extracting, processing, and analyzing user and game data from Steam, followed by constructing and deploying a sophisticated machine learning-based ...