Tidy Time Series Forecasting in R with Spark

I'm SUPER EXCITED to show fellow time-series enthusiasts a new way that we can scale time series analysis using an amazing technology called Spark! Without Spark, large-scale forecasting projects of 10,000 time series can take days to run because of long-running for-loops and the need to test many models on each time series. Spark has been widely accepted as a "big data" solution, and we'll use it to scale-out (distribute) our time series analysis to Spark Clusters, and run our analysis in parallel. Spark is an amazing technology for processing large-scale data science workloads. Modeltime is a state-of-the-art forecasting library that I personally developed for "Tidy Forecasting" in R. Modeltime now integrates a Spark Backend with capability of forecasting 10,000 time series using distributed Spark Clusters.