What is Amazon Forecast?

Amazon Forecast, like Amazon Redshift ML, requires no ML experience to use. Time-series forecasts are generated using various ML and statistical algorithms based on historical data. As a user, you simply send data to Amazon Forecast and it will examine the data and automatically identify what is meaningful and produces a forecasting model.

With Amazon Redshift ML, you can leverage Amazon Forecast to create and train forecasting models from your time-series data and use these models to generate forecasts. For forecasting, we require a target time-series dataset. In target time-series forecasting, we predict the future value of a variable using the past data or previous values, which is often called univariate time series because the data is sequential over equal time increments. Currently, Redshift ML supports target time-series datasets with a custom domain. The dataset in your data warehouse must contain the frequency or interval at which you capture your...