When you deal with large datasets, you need many kinds of tools to tackle different types of challenges. Regular expressions (REGEX) are a powerful, pattern matching syntax that might be the perfect addition to your data toolbox.

Unfortunately, regular expressions have the reputation of being dense, difficult to read, difficult to document, and have a multitude of implementations. This session is designed to give you easy-to-understand, easy-to-remember tips that can help you implement a perfectly crafted regex snippet that meet your exact needs in style -- without all of the fear and loathing.