Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore an 18-minute conference talk from SK TECH SUMMIT 2023 that unveils TrinoPy+, an innovative solution developed through collaboration between SK Hynix and SKT for processing unstructured semiconductor equipment data. Learn how this SQL and Pure Python-based enhancement to the open-source Trino engine enables seamless preprocessing, analysis, and loading of both structured and unstructured data from semiconductor fabrication facilities. Discover the architecture and big data technologies that allow complex manufacturing data processing through simple SQL queries, presented by Hyunho Kim, a data engineering expert from SK Hynix with 4 years of experience in enterprise big data operations. Gain insights into how the Data Engineering & Solution team tackles the challenges of semi-structured and unstructured equipment data processing, adhering to the philosophy of "Simple is the best" through practical SQL-based solutions.