Assets

The Assets section provides a centralized view of all data sources connected to Datachecks. It allows you to explore assets, schemas, tables, and columns in a structured way.

Each workspace has its own Asset View meaning that when you add a data source, its data quality analysis remains separate from other workspaces. This allows different teams to track what matters to them without cluttering or interfering with other analyses.

Navigating the Assets

When you first arrive on the Asset page, you will see a list of all data sources connected to Datachecks in the asset view. Use the search bar above data sources to search for datasets across all sources. Alternatively, you can click into any source to explore the schemas, tables, and columns contained within

When you select a data asset in the Asset View, tabs appear to the right of the navigator. These Explorer sub-tabs display data quality information and configuration tools for the selected asset. Different types of data asset have different tabs based on the actions that are available for the asset type:

• Datasource Level: Validations Run Overview, Data source overview
• Table Level: Overview, Validations, Validation Suggestions, Alerts, Configuration,
• Column Level: Validations, Validation Suggestions alerts

Validations Run Overview

On the right-hand side, you'll find an overview of validation runs, showing the total datasets added, the number of active validations, and a graphical visualization of validation runs with their pass/fail status and its detected time range.

Data source overview

Below Validations Run Overview, you'll see a detailed table displaying:

You also have the option to rescan the data source.

Table Overview

The Overview tab provides a high-level summary of a specific table within a data source. This section includes:

• General Information – Displays metadata such as database name, schema, table name, origin, interactivity, and description
• Health Score – A visual representation of data quality metrics, including reliability, uniqueness, completeness, distributions, custom checks, and validity.
• Number of Rows – A record of row trends over time.
• Validation Summary – An overview of the validation rules applied to the table, along with their status.

This helps users quickly assess the health and structure of a table within a connected data source.

Validations

The Validations tab provides a list of all validation rules applied at the table and column levels. You can create new validation rules, add existing validations to collections for better organization, and search for specific validations using the search bar above the list. You can also filter validations by status using the options on the right-hand side.

Validation Suggestions

When you connect a new datasource, Datachecks profile your data and analyzes its structure to suggest relevant validations. In the Validation Suggestions tab, you can review these recommendations and choose to enable or reject them. You can use the checkbox next to Validation Name to bulk add multiple validations to all tables.,

Alerts

The Alerts tab provides an overview of all triggered alerts related to data quality issues within a selected table or column. These alerts help you quickly identify anomalies, validation failures, and unexpected changes in your datasets.

Here you can see overview of alerts which displays the total number of alerts over a selected time range, along with a graphical representation of alert trends. Below that you can find individual alert details table which includes alert ID, alert group, total alerts, and timestamps for when the issue was first and last detected.

You can filter alerts by their status, datasource, and validation to focus on critical issues and take necessary actions efficiently.

Configuration

In the Config tab, you can:

• Select a domain through Domain Settings, which will be grouped in your Dashboard Progress Breakdown. You can add a domain from Settings > Workspace > Domains.
• Add a description, which will be displayed under General Information in the Overview tab.
• Create Window to segment and monitor validation results over specific timeframes.

Creating a New Window

To create a window, click Add Window and a configuration pop-up will appear where you can enter the Workspace Name and select a Window Type.

Datachecks supports two types of windows:

• Global – This window runs all linked validations as they are, without any time constraints.
• Tumbling – This window runs linked validations with additional time range constraints. For example, if you want to monitor data from the past five days, you can define the relevant timeframe.

Tumbling Window

If you select Tumbling, a pop-up will appear for Create New Window. Enter the following details:

• Date-Time Field – Specify the timestamp column used for segmenting the data
• Window Size & Unit – Defines the segmentation of data. Let's say you have data for 10 days and specify a window size of 2. The system will partition the data into 5 sets, and validation will run on each set separately.
• Look Back Period & Unit – Determines how far back the window should capture data. For example, setting a Look Back Period of 5 with a Daily unit will create a window covering the last five days.