In this talk Felix Cremer presents how he is using the Julia programming language to process large raster data. Julia is an interactive scientific programming language, designed for HPC applications with primitives for Multi-threaded and Distributed computations built into the language. The main work is done by the YAXArrays.jl data cube framework in Julia. YAXArrays.jl provides functionality to deal with labelled arrays, similar to the xarray python package and it also provides efficient and easy multithreading and distributed computation of user defined functions along arbitrary slices of the data.YAXArrays.jl uses DiskArrays.jl in the backend to deal with out of memory datasets.