This project processes a large dataset containing temperature readings for various locations. The goal is to efficiently parse and analyze 1 billion rows of data, calculating the count, average, minimum, and maximum temperatures for each location. The solution leverages multi-threading and memory-mapped file I/O to achieve high performance, completing the task in approximately 1.35808 seconds.