About the latest Collibra DQ user interface

The Metadata Bar is a dataset anchor that simplifies the navigation to some of your most frequently used pages, such as Dataset Overview, Profile, Rules, and Findings. It also provides quick insight into your dataset, such as the number of active rules, the data source from which the dataset was created, and whether or not your job is scheduled to run automatically. When an integration is set up, the Metadata Bar also allows you to easily enable or disable dataset metadata integrations into Collibra Platform.

You can access the Metadata Bar on any dataset-level page, including:

• Findings
• Profile
• Dataset Rules
• Alert Builder
• Dataset Overview

Dataset Overview lets you query your dataset to discover key data points and insights, which you can convert to data quality rules entirely within the Dataset Overview modal. With the power to write SQL to query your dataset, you can accelerate the process of data discovery and reveal important insights in real time.

Dataset Overview also allows you to leverage Collibra AI to automatically write and troubleshoot SQL for faster rule writing and advanced exploration of your dataset.

The new workflow simplifies the process of creating a DQ Job to run against a dataset. With just a few clicks, you can create a basic profile job in a matter of seconds instead of minutes. For a more advanced scan, the step-by-step guide walks you through the process, eliminating many of the more tedious elements of the classic Explorer. Additionally, we improved the performance when loading schemas with many tables to ensure that the Explorer page doesn't lock in an unresponsive state while they load.

The new Findings page will feel similar to the classic page, but with a few important changes:

• The daily score, pulse view, row count, and pass/fail charts are now broken out into individual tabs for an improved display.
• The dataset metadata that previously resided next to the chart views is now anchored to the top of the page within the Metadata Bar for quicker analysis of your dataset’s key data points.
• The findings tabs of the various data quality dimensions now have enhanced readability and more clearly displayed actions.

Dataset Rules lists all previously saved rules for a given dataset and provides an overview of their details, such as the definitions of SQL conditions, rule types, and whether or not rules pass validation checks. From here, you can access the Rule Workbench to create or edit a rule.

The Rule Workbench replaces the classic Rule Builder, fusing an elegant SQL command line interface with the preview and advanced setting capabilities you expect from a modern SQL builder. Like the Dataset Overview, you can also use Collibra AI-generated SQL to write and troubleshoot rules on the Rule Workbench. See the SQL Assistant for Data Quality topic to learn more.

We've also split Data Class and Template rules into their own pages to emphasize that they are independent of jobs and datasets and improve their overall organization.

The new Alert Builder provides an at-a-glance view of all alerts for a given dataset and simplifies adding new alerts or editing existing ones. New alert options include:

• The ability to configure Condition alerts to generate an alert when a user-defined condition is satisfied during a dataset run.
• The ability to configure Job Status alerts to generate an alert when a job run completes.
• The ability to configure Rule Status alerts to generate an alert when a rule is breaking, passing, and/or has an exception.
• The ability to set custom alert email signatures.
• The incremental delivery of alerts from the automatically enabled alert queue.
• General improvements to the body of alert emails.

Dataset Manager provides a list of all datasets in your Collibra DQ environment, as well as a variety of management options, such as assigning datasets to data categories and the ability to filter datasets by a variety of criteria. Additional enhancements include:

• New filtering options.
• New options for the management of datasets in bulk.
• A link to view a dataset in Collibra Platform when an integration exists.

The Reports section now has two new dashboards available in the updated UI:

• Column Dimension is an overview to view the data quality dimensions of the columns of all or specific datasets. By filtering by business unit, dataset, column, and monthly periods, you can make more informed decisions and increase the value of your data. Column Dimension also provides insight into the total current dimension scores, dimension scores across time, and DQ scores (along with other metadata) for each column.
• Dataset Dimension is an overview to view data quality dimensions with different filters to make more informed decisions and increase the value of your data. You can filter by specific datasets or all datasets in your Collibra DQ environment, by business unit, and by monthly periods.

The updated Connections page in the Admin Console does away with the connection tiles of the classic page in favor of a highly searchable and sortable paginated table format. The new page also features two tabs for Connections and the Drivers stored in your Collibra DQ environment.

Additionally, when you add or edit a connection, the connection template is now organized in three tabs for Connection Details, Driver Properties, and Connection Variables. With these sections now clearly delineated, the process of creating or updating a connection is now much cleaner.