Metadata is data about your data. For example, you might decide that one or more of the following types of information about your dataset should be tracked:
- Source system(s)
- Source path and (if applicable) filenameSource creation date
- Date of import
- Date of wrangling
- Name of person who performed the wrangling
This section provides some methods for how to insert metadata into your dataset.
For file-based data sources, you can insert the path to the source file in your dataset using the
In your recipe, insert the following transformation:
For more information, see Source Metadata References.
Insert source row number
You can insert the row number in the source file from which rows in your dataset are sourced, using the
- Use your CSV file as the source for a new dataset within the flow containing the associated dataset.
- In the data grid, make sure that the first line of data is treated as the header. If not, add a
headertransform to your recipe.
- Open the other (source) dataset in the Transformer page.
In the recipe panel of the Transformer page, add a new step. In the Transformation textbox, enter
- Create a union:
- Include all columns from both datasets.
- Configure the step to perform the union by name, instead of by position.
- See Union Page.
- Add this step to your recipe.
- You should see one row in the union recipe that contains the new data.
Sort your data by a key value (e.g.
Determine an appropriate grouping parameter. This step is necessary to simplify the filling process when the job runs at scale. Ideally, you should choose a grouping column that contains a relative few number of values in it (e.g.
Fill values in the data rows with metadata column values. For each metadata column, add the following transformation, done here for the
source_systemcolumn of metadata.
D trans p03Value business_id Type step p01Name Formula p01Value FILL(source_system) p02Name Group by p02Value region p03Name Order by SearchTerm Window
Repeat the above step for each metadata column you want to insert.
- Drop Delete the source metadata columns.
- Rename the
windowcolumns to use a more appropriate name.
- Delete the row containing the original metadata values.