Distributed Forecast of 1M Time Series in Under 15 Minutes with Spark, Nixtla, and Fugue | by Federico Garza Ramírez | Sep, 2022
Scalable Time Series Modeling with open-source projects StatsForecast, Fugue, and SparkBy 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 and economics…