Bi-Data Stream Conversion-percentage sampling and row sampling

Percentage sampling and row sampling can randomly select a group of data from the data source. Both tasks can generate two sets of output,One group is randomly selected, and the other group is not selected. You can send the selected data to the development or test server. The most suitable application of this task is to establish a data mining model and then use the sample data to verify the model.

Edit the task and select the number of rows or percentage to be extracted ,. Percentage Sampling randomly selects data from the data source by percentage, and row sampling randomly selects the number of rows from the data source. You can name selected data and unselected data. The last option is the random sampling parameter. If you select a fixed parameter, the output results are the same each time. If you keep the default settings, You do not select the parameter. Different data is output each time.
Percentage Sampling:

Row sampling:

 

Bi-Data Stream Conversion-percentage sampling and row sampling