Prasad Wagle's talk discussed how Twitter extracts insights from its large volumes of data. Twitter collects hundreds of millions of tweets and interactions per day from over 300 million monthly active users, creating big data challenges around velocity, volume, and variety. Twitter stores this data in hundreds of petabytes across large Hadoop clusters and processes it using batch tools like Hadoo