Guy works for Redis as a Developer Advocate. Combining his decades of experience in writing software with a passion for sharing what he has learned, Guy goes out into developer communities and helps others build cool stuff. In his personal life, Guy is a hard-boiled geek interested in role-playing games, science fiction, and technology. He also has a slightly less geeky interest in history and linguistics. Guy lives in nice, quiet Ohio with his wife, his teenage sons, and an entire wall of board and role-playing games.
Bigfoot has been a staple of American folklore since the 19th century. Many are convinced that Bigfoot is real. Others suggest he’s merely a cultural phenomenon. And some just want to believe. There is even a group, the Bigfoot Field Researchers Organization, that tracks Bigfoot sightings and makes the reports available online. And they have thousands of reports.
I want to explore this delightful data but, unfortunately, it’s been made for the convenience of humans and not computers. While this makes it easy for me to read, searching for reports can be a bit of a challenge. Some of the data is tidy and computer-friendly—like the latitude and longitude. Other bits are really for us humans—like the eyewitness accounts. So, how can I find the Bigfoot sightings that interest me most with data structured like this?
Well, I’ll show you! In this talk, I’ll load these Bigfoot sightings into Redis and use RediSearch to index them, making it easy to query both the computer-friendly bits and the human-friendly bits. I’ll also show you how to search on fields, find keywords within text, find nearby Bigfoot sightings using geolocation data, and run queries that aggregate these searches.
When we’re done, you’ll know how to quickly search, query, and aggregate data in Redis using RediSearch. You can use this newfound power for boring old corporate data, but I’m going to use it to find Bigfoot!