Wee-Hyong Tok
Adjunct Professor at UW Professional & Continuing Education
Biography
UW Professional & Continuing Education
Wee-Hyong Tok has decades of database systems experience, spanning academia and industry, including deep experience driving and shipping products and services that span distributed engineering teams from Asia and the United States.
Before joining Microsoft, Tok worked on in-database analytics, demonstrating how association rule mining can be integrated into a relational database management system, Predator-Miner, which enables users to express data mining operations using SQL queries and provides opportunities for better query optimization and processing.
Tok is instrumental in driving data mining boot camps in Asia and was honored as a Microsoft SQL Server Most Valuable Professional for several consecutive years because of his active contribution to the database community in Asia. He has co-authored several books, including the first book on Azure machine learning, Predictive Analytics with Microsoft Azure Machine Learning, and has also published more than 20 peer-reviewed academic papers and journals. Tok holds a Ph.D. in computer science from the National University of Singapore.
Videos
Azure SQL April 2021 News/Updates | Data Exposed Live
SESSION: SQL Server Integration Services Roadmap (Matt Masson, Wee Hyong Tok)
Azure SQL July 2021 New Updates | Data Exposed Live
SSGAS 2016 Interview (Wee-Hyong Tok)
Azure Data Factory update: governance, data flow startup, and CI/CD | Azure Friday
[YouTube Live] SGInnovate: AI for Earth
International Keynote Speaker: Dr Wee Hyong Tok ARSC 2021
Around the Clock with Azure SQL & Azure Data Factory With Ask the Experts | Data Exposed Special
Five Practical Tips to Limitless Data Integration Using Azure Data Factory | Data Exposed
A Chat and Demo about LINQ with Wee Hyong (Singapore MVP – SQL)
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