Databricks Community

Customers with high-frequency time series data often need forecasts at a finer granularity based on their data sources. For example, an energy supply company may receive energy demand data every 15 minutes, while highway speed monitoring systems upda...

Machine learning workload can be time-consuming due to training data processing such as ETL and feature engineering and iterative model training steps. Recent ML Runtime releases have made both faster by 2X with a single toggle during the cluster cre...