Generating sample data for testing purposes
Having sample data to test your transformations is very useful and allows you to move faster through your development and testing process. There are several cases where you will want to generate sample data, for example:
- To quickly populate datasets with random data
- Manually generate specific information
- Generate large volumes of custom data
Take a subset from a large volume of data. In this recipe you will learn how to generate a dataset with 100 random rows in different formats (integer, string, and dates). Then, in the There's more section, you will find alternative solutions for generating data for testing.
How to do it...
Carry out the following steps:
- Create a new transformation.
- Drop a Generate rows