Sophie Watson and William Benton explore a way to answer interesting queries about truly massive datasets almost instantly and with a fixed amount of space.

It sounds like magic, but you’ll go hands-on to practice sketching data structures that work this magic and the key trick that makes them possible. Sophie and William introduce truly scalable techniques for several fundamental problems like set membership, set and document similarity, counting kinds of events, and counting distinct elements. You’ll learn how and when to use these structures as well as how they work. You’ll see how the same techniques work for parallel, distributed, and stream processing at scale. And you’ll leave able to put these techniques to work in real data engineering and machine learning applications like join processing, document classification, and content personalization.

Please note: Registration for this workshop is now closed. Attendees who have registered for this workshop will receive an email with login details to the workshop platform.