Analysis of Semiconductor Chip Performance using Medallion Architecture

This research presents a meticulous investigation into semiconductor chip performance using a data engineering methodology. Employing the Medallion Architecture, the study comprehensively analyses various CPU performance metrics, including Integer Math, Floating Point Math, Random String Sorting, Data Encryption, Data Compression, Physics, Extended Instructions, and Single Thread operations. The project, consummated via Microsoft Fabric and Python integration, aims to decipher intricate CPU behaviours across diverse computational workloads. This in-depth exploration not only elucidates these metrics but also aims to derive critical insights essential for advancing chip design and optimizing computational efficiency. The findings of this rigorous analysis contribute significantly to the understanding and utilization of semiconductor chip performance within contemporary computing paradigms.