Data Studio is your central hub for exploring schemas in your Blueshift account. It provides a user-friendly interface to help you gain insights into your data structure and manage it efficiently.
Currently, Data Studio focuses on customer attributes, allowing you to:
- View and explore key details of your schema, including standard, custom, predictive, and derived attributes.
- Navigate nested attributes effortlessly for a deeper understanding of your data.
- Edit descriptions for custom attributes to ensure consistency and clarity.
- Download schema details in JSON format for offline analysis and integration with other tools.
Where to find Data Studio
- Navigate to the Customer Data section in the left-hand menu.
- Click on Data Studio to access the feature.
Customer Schema tab
Table view
The Customer Schema tab houses a table view containing customer attributes. It provides a structured overview of customer attributes with the following columns:
- Attribute name: The name of the attribute.
- Category: Indicates whether the attribute is Standard, Derived, Predictive, or Custom.
- Data type: Specifies the data format, such as String, Boolean, or Date.
- Description: Editable for Custom attributes to provide additional context.
- Created at: Shows when the attribute was created.
For an expanded, detailed view, click the row or select View Details from the three-dot menu at the right corner of the row.
On the expanded view, you can perform the following actions:
- Update the description for custom attributes.
- View sample values for all attributes. For nested or object data types, sample values are displayed within their nested structure.
- View nested attributes by clicking the expand icon for an object or nested data type.
Filters and sort options
To help you locate specific attributes quickly, Data Studio provides:
- Search: Find specific attributes using the "Search by Attribute Name" bar.
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Filters: Narrow down results by:
- Category: Standard, Derived, Predictive, or Custom.
- Data type: String, Integer, Date, Boolean, etc.
- Sorting: Click on column headers (e.g., Attribute name, Category) to sort attributes alphabetically or by type.
JSON view
The JSON view offers a detailed, developer-friendly representation of the schema. It includes:
- Attribute names as keys.
- Attribute details like labels, categories, data types, and sample values as values.
How to access JSON view
- Click the JSON toggle at the top of the screen.
- Use the search bar to locate specific attributes by key name. You can also change the theme and copy the JSON.
- Download the schema by clicking the download JSON icon at the top right of the screen.
Create a custom attribute
Follow these steps to create a new custom attribute in the Data Studio.
- Go to the Customer Data section in the left-hand menu.
- Click Data Studio to open the feature.
- Click the + CUSTOM ATTRIBUTE button in the top-right corner to open the Create Custom Attribute modal.
- Enter the following details:
- Name: Enter a name for the custom attribute.
- Type: Select from String, Integer, Decimal, Date, or Boolean.
- Description: Provide a brief description (max 150 characters).
- Click Save to create the attribute.
- Note: The new custom attribute may take 2–3 minutes to appear in the Data Studio grid.
Data Studio: Attribute behavior and visibility
- Custom attribute updates: After creation, new custom attributes may take 2-3 minutes to appear in Data Studio.
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"Created at" date for attributes:
- The "Created at" date reflects the account creation date for standard, derived, and predictive attributes.
- Custom attributes created before the January 2025 release will have empty "Created at" dates, as this information was not stored previously.
- Custom attributes created after the January 2025 release will display accurate "Created at" dates.
- Attribute visibility: Not all customer attributes may appear on the customer profile, but they can still be accessed in the Data Studio or used for segmentation.
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