Raster data analysis involves processing gridded geospatial data representing continuous surfaces or discrete values across space, commonly used for satellite imagery, digital elevation models, and land cover classification. Rasterio provides a Pythonic interface built on top of GDAL (Geospatial Data Abstraction Library), the industry-standard C++ library for reading, writing, and transforming raster and vector geospatial formats. The key to efficient raster processing lies in understanding how to leverage windowed I/O, affine transformations, and virtual datasets to handle files larger than available memory while maintaining georeferencing accuracy throughout complex workflows.