Robert's team at Airbnb built Minerva to track over 12,000(!) metrics and 4,000(!) dimensions with consistency. How'd they do it?
Step with Venkat into a world where data is always fresh, queries run in 1ms, and analytics engineers build web-scale, real-time data apps.
Erik wrote that we’re in for a “reorganization of the factory,” a shift in the way we build data products. What should be reorganized, and where will it…
Can Tristan, Benn and David make any sense of this very open question?
After listening to this episode, you’ll be rushing to implement a 'failure of the week' practice on your team.
Julien has a unique history of building open frameworks that make data platforms interoperable. Why's he now turned his attention to data lineage…
Dive with Brian into the world of experimentation at Stitch Fix, and learn how they execute experiments even with limited data.
David is Sr. Director of Data at Lyst, and as leader of their analytics + data science teams he has followed the evolution of data roles closely over…
Is the Modern Data Stack a real thing or just marketing buzz?
Can streaming analytics allow analysts to facilitate better customer (like real, end customer) experiences?
Give your brain a stretch, and imagine the possibilities of a Google Docs-style real-time collaborative workflow for data analysis projects.
Data observability is really a mashup of many complex problems - how much of it can truly be automated? How much is just enough?