👉 File engineering is a set of practices and techniques used to optimize, transform, and structure data for efficient storage, retrieval, and processing. It involves converting raw data into a format that is more suitable for specific applications, often by applying transformations such as normalization, compression, encryption, and indexing. File engineering also encompasses data modeling and schema design to ensure that data is organized in a way that maximizes performance, scalability, and maintainability. In the context of data science and big data, file engineering plays a crucial role in preparing large datasets for analysis, enabling faster query performance and more effective machine learning workflows.
