The Architecture of a Distributed Analytics and Storage Engine for Massive Time-Series Data


by Theo Schlossnagle




The numerical analysis of time-series data isn't new. The scale of today's problems is. With millions of concurrent data streams, some of which run at 1MM samples per second, the challenge of storing the data and making it continuously available for analysis is a daunting challenge.