Conquering Time Zones and Daylight Savings

Dates and times can be some of the most challenging data to work with. Most organizations start small and store data in a local time zone, only to grow and need to operate reliably across many.

This session dives into both best practices for managing date and time data while also providing solutions for how to handle dates/times when conversions and normalization are required in the future.

This is a hands-on session with demonstrations of effective schema design, a brief intro to calendar tables, and formulas and queries to convert between time zones, even when the data is historical in nature.

Edward Pollack

Data Architect | Microsoft Data Platform MVP

Albany, New York, United States


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