Distributed Forecast of 1M Time Series in Under 15 Minutes with Spark, Nixtla, and Fugue

Scalable Time Series Modeling with open-source projects StatsForecast, Fugue, and Spark

By Kevin Kho, Han Wang, Max Mergenthaler and Federico Garza Ramírez.

TL:DR We will show how you can leverage the distributed power of Spark and the highly efficient code from StatsForecast to fit millions of models in a couple of minutes.

Time-series modeling, analysis, and prediction of trends and seasonalities for data collected over time is a rapidly growing category of software applications.

Businesses, from electricity …

data science distributed distributed systems forecast fugue series spark statistics time series time series forecasting