Introduction Data engineering has evolved rapidly over the past few years. Organizations are no longer satisfied with batch processing systems that deliver insights hours or days later. The demand now is for real-time data, faster processing, and efficient storage without compromising reliability. Traditional data lakes often struggle with these expectations. They lack efficient mechanisms for handling updates, managing incremental data, and maintaining consistency at scale. This is where Apache Hudi has changed the conversation. Apache Hudi introduces a new way of managing data lakes by enabling real-time data processing and efficient storage management. It bridges the gap between batch and streaming workloads, making it a powerful choice for modern data engineering teams. Understanding Apache Hudi Apache Hudi is an open-source data lake platform designed to manage large datasets while supporting real-time data ingestion and processing.…