Turning Metadata Into Insights with Databook

DRANK

Every day in over 10,000 cities around the world, millions of people rely on Uber to travel, order food, and ship cargo. Our apps and services are available in over 69 countries and run 24 hours a day. At our global scale, these activities generate large amounts of logging & operational data that runs through our systems in real-time. This includes information about consumer demand, driver-partner availability, and other operational tasks such as payments, notifications, and more. Operating a complex marketplace such as ours requires our engineers, data scientists, data analysts, and operations managers to take real-time business decisions based