Adding a new dictionary-based semantic type through the user interface - 2.3

Talend Data Preparation User Guide

author
Talend Documentation Team
EnrichVersion
6.5
2.3
EnrichProdName
Talend Big Data
Talend Big Data Platform
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task
Data Quality and Preparation > Cleansing data
EnrichPlatform
Talend Data Preparation

You can create a semantic type based on a closed dictionary in the Semantic types menu, so that it is added to the list of recognized data types.

In Talend Data Preparation, not every type of data can currently be matched with one of the predefined semantic types. The counties of United Kingdom for example, are currently not recognized as such.

Let's say that you work for a British company, with customers only residing in the United Kingdom. In this example, you need to clean some customer data, such as their names, email address, or the county they live in. The semantic type for the column containing the counties data will be set by default to city. Some of the data may actually match names of cities, but you might want to add a semantic type that is more specific to your data: UK_counties semantic type in this case.

You will create this new semantic type in the dedicated menu, and it will be instantly available in your preparation, so that your data can be matched with a proper type.

Procedure

  1. Click the Semantic types tab of the left menu.

    The list of all the semantic types present by default in Talend Data Preparation opens. For the complete list, see Predefined Semantic Types.

  2. Click the Add semantic type button.

    The semantic type creation form opens.

  3. In the Name field, enter the name you want to give your semantic type, UK Counties in this example.
  4. In the Description field, enter List of counties in the United Kingdom.
  5. In the Type drop-down list, select Dictionary.

    You will indeed create this semantic type based on an exhaustive list of values.

  6. Keep the Use for validation switch activated.

    Using a regular expression, a dictionary or a compound type for validation means that it will be used to define wich values are considered right or wrong in a given column. The result of this validation process can be seen in the quality bar of each column in your datasets.

    In any case, regular expressions or dictionary of values are used for data discovery, that calculates the matching percentage between the reference values and your data to define the semantic type of each column.

    In this example, if you were to deactivate the switch, the dictionary would only be used for data discovery, and no value would be considered invalid.

  7. In the Validation criterion drop-down list, select the restriction rule that you want to apply, Exact value for example.
    • Simplified text: Punctuation, white spaces, case and accents are ignored during validation. For exemple, if Pâté-en-croûte is your reference value, pate-eN-cRoute will be considered valid but not Pâté n croûte.
    • Ignore case and accents: Case and accents are not taken into account during the validation. For example, if Pâté-en-croûte is your reference value, pate-en-croute will be considered valid but not pate en croute.
    • Exact value: The most restrictive validation rule. Data is considered as valid only if it is an exact match with the reference value.
  8. To add the list of counties that will make up the UK Counties semantic type in the Values field, you can:
    • Manually add each value. Click the plus icon to enter a value, and click the tick icon to validate your change. Repeat for each county to add to the list.
    • Import file containing a plain text list of UK counties. Click the import button to select the file to upload. The file format is not important, as long as the content is plain text.

      Retrieve the dict_uk_counties.txt file from the Downloads tab in the left panel of this page.

      Enter each different value on a separate line. Values that are on the same line and separated by a comma will be considered as synonyms.

      When importing a list from a file, non-alphabetical values must be protected by quotes, otherwise the file will be rejected.

    Duplication of values is not allowed. When manually adding values, a check is done. And when importing a file, a deduplication step is automatically performed.

    The full list of counties has been added.

  9. Click Save and publish to send the new semantic type to the Talend Dictionary Service server and make it available to the Talend Data Preparation users.

    Clicking Save as draft means that the semantic type will be stored in Talend Dictionary Service, but will not be broadcast to the Talend Web applications. This allows you to chose the moment when you want to make your semantic types public.

    The UK Counties type is now available in the list of semantic types with the status set as Published.

    The change in semantic types is instantly effective in Talend Data Preparation for every new dataset that you import. For existing datasets, you need to manually change the column type or reimport your dataset.

  10. Go back to your dataset containing the counties names.
  11. Click the menu icon in the County column header and select this columns is a... > UK Counties.

    The column type now matches the newly created category.

Results

Your data is now matched with the UK Counties semantic type, that you manually created in Talend Dictionary Service. From now on, when importing new datasets containing names of British counties, they will automatically be matched with the proper type.