Pete Barnett delves into realtime analytics for time series data using Influx DB 3.0. He sheds light on the concept of time series data, its significance, and its wide-ranging applications. Pete contrasts traditional storage solutions with column-based storage, underscoring the advantages of the latter. He presents Influx DB 3.0, touching on its architectural enhancements, interoperability, and query languages. He wraps up by illustrating how column-based storage fits into a data stack, highlighting its performance boosts for analytical queries and real-time data workflows.