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Distributed forecast of 1M Time Series in Under 15 Minutes with Spark, Nixtla, and Fugue
Sept. 16, 2022, 4:54 a.m. | Federico Garza Ramírez
Towards Data Science - Medium towardsdatascience.com
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
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