In the dataset list area, you can see three sections: overview, list, and list operations. You can perform management operations such as editing, modifying, and more for each section. This article will introduce the specific operations of the first section: the "Overview" page.

2.1 Dataset search #

Supports querying by basic information such as dataset name, data source name (base table), owner, and permissions (view, edit, manage).

• Source: You can query datasets output by the visual modeling module or datasets created directly through data connections.
• Type: Query based on whether the dataset is directly connected or extracted.
• Status: You can query the status of the last synchronization for each dataset.

Click the Expand button to trigger more filter conditions. These include dataset category, sensitivity classification, storage type, alert recipient, priority, queue, and run frequency.

• Category: You can select personal datasets, shared datasets, or public datasets.
• Sensitivity classification: You can select all, unclassified, sensitive and not desensitized, sensitive and desensitized, or not sensitive.
• Storage type: You can select different storage types of existing datasets.
• Alert recipient: You can find the corresponding alert recipient by searching for users.
• Priority: You can select all, normal priority, high priority, or ultra-high priority.
• Queue: You can select all or offline.
• Run frequency: You can select all, minute-level, hour-level, day-level, week-level, month-level, manual, or other.
• Tag: You can select all or all tags under the project group.

2.2 Tag management #

Datasets in a project are often in different business states and need to be identified when used. For example: deprecated, pending transformation, data warehouse construction completed, and more. Through tag management, datasets within a project can be categorized by tags, and the corresponding tags can be displayed in downstream charts and dashboards, helping readers quickly understand the data status. Tag management consists of three parts: project tag configuration, dataset tagging, and tag display. Only project administrators can configure tags. For details, see Tag Management.

2.3 Parameter management #

In the parameter management module, users can view public and personal parameters already configured in the project, or create new parameters.
A parameter is a variable that can be flexibly adjusted. This variable can be used in calculated fields to implement dynamic logic solutions for a single calculated field or even an entire chart. When a parameter takes different values, the field expression will correspond to different calculation logic. For details, see Parameter Management.

2.4 Category management #

Create project-level categories, which allows unified management of dataset field categories within the project. You can choose to disallow the creation of dataset categories.

2.5 Dataset classification #

In V2.58.0 and later versions, the dataset module adds two types of dataset classifications: personal datasets and public datasets. Clicking the personal datasets and public datasets folders allows users to select the types of datasets they need.
The main value of personal datasets is that users can create personal datasets for analysis without applying for project editing permissions.