Optimized Methods and Source Code for Handling Massive Data in MATLAB

This article presents an optimized MATLAB methodology and corresponding source code for processing large-scale datasets. In modern data analysis, handling massive datasets is crucial. We discuss MATLAB-based approaches for large data processing and introduce an optimization method that enhances processing efficiency while reducing computation time. The provided source code demonstrates implementation techniques including memory-efficient data streaming, vectorized operations, and parallel processing capabilities. Key functions such as datastore for handling out-of-memory data and parfor loops for parallel computation will be explained. Additionally, we explore parameter tuning and optimization strategies to achieve optimal performance across different dataset types. By the end of this article, you will understand MATLAB's large-data processing capabilities and master optimization techniques to improve efficiency when working with massive datasets through practical code examples and algorithm explanations.