Modernizing Semiconductor Data Platform Using AWS Cloud Solutions

In this talk, we will discuss options for architectural best practices to achieve sub-second query performance at petabyte scale using AWS cloud solutions like Redshift. We will showcase ETL details, schema and architectural designs modernizing GFs data analytics capabilities. The talk will cover the value of a data lake in breaking down silos and enabling enhanced analytics of fab data including INLINE, WET, SORT and FDC semiconductor workloads.
This data lake approach enables a unified global view of manufacturing data, driving global efficiency gains. It will also demonstrate how this data lake transformation is setting up the foundation for Artificial Intelligence and Machine Learning use cases to improve yield, increase productivity and reduce costs. We will also examine the performance advantages over on-premise solutions in terms of speed and reliability. By the end of the talk, attendees will have a better understanding of the potential benefits of cloud-based data warehousing solutions and how it can help drive innovation and improve efficiency in semiconductor fabrication.