Heap Analytics Info Session
Speaker: Dan Robinson, CTO
Date : October 5, 2017
Time: 5:00pm - 6:00pm
Location: Gates Building, room 104
Dinner: Ike's will be served!
Leave your resume for a raffle ticket to win a new pair of AIAIAI TMA-2 Modular Headphones (DJpreset). (They sound pretty sweet.)
If you want to build a great product, the first step is to understand your users. That means collecting the right data and using it to answer questions. Traditionally, people have done this by writing new event-logging code whenever they needed to learn something new about their users — a feedback loop that takes weeks in the best case.
Heap is an analytics product built around the idea that if you record everything your users do, you'll be able to answer questions immediately when you have them. That simple-sounding change means a radical difference in how teams build products. But how do you build analysis infrastructure that captures so much data and lets you do so much with it? And how do you make it easy enough for nontechnical people to use to answer their questions?
Dan is CTO at Heap, where he uses PostgreSQL, Kafka, Redis, and CitusDB to build distributed analytics infrastructure. He's been known to get a little too much satisfaction out of solving problems with PL/pgSQL, Bash, and other un-hip tech.
Dan studied Computer Science and Mathematics at Stanford, writing an honors thesis on deep learning and doing research in computer vision. He worked at Palantir for two years and interned at Google, where he built a machine learning system on the Google Maps team.