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The Database Growth Forecast repo= rt lets you predict how large selected databases may grow based on current = and historical growth rate trends. For more accurate forecasting, select th= e largest possible period of historical data and the shortest possible proj= ection into the future.
You should run the Database Growth Forecast report to help anticipate yo= ur needs and plan for future database expansion.
You can choose Linear or Exponential (Agg= ressive) forecasting types when you run this report.
Linear forecasting follows the trend of t= he available data and extends the forecast out in a straight line by the nu= mber of forecast units.
Exponential forecasting tends to exaggera= te the trend that exists in the data. This allows you to more easily see if= your data (database growth) is trending toward or away from a critical thr= eshold. If the rate of growth is not constant, the exponential forecast typ= e gives a more accurate forecast of future growth.
Most values on the Database Growth Foreca= st report correlate with the related SQL Server metric.
However, some metric values represent ave= rages over time. Likewise, a few metric values are based on performance alg= orithms that use multiple statistics to calculate a more accurate metric.= p>
You can access our Customer Support Portal= a> for more information about the algorithm used to calculate a specific me= tric.