Data products overview

Coalesce Quality enables you to deploy relevant monitors, track uptime, and manage ownership of your business-critical data assets through Data Products

You should consider data products based on downstream use cases of your most important data. By setting up data products, you can head to Products for a complete overview of your products and their status.

Data products showing the priority, owner, and status of all monitors and tests

Examples of data products are

A set of transformation models and metrics within a specific folder, like a finance mart (e.g., dbt models, SQLMesh models, or Coalesce nodes).

A group of transformation models linked by an exposure, for instance, models used by a CLTV model that powers marketing automation.

A selected collection of dashboards in a BI tool, such as core KPI reporting.

A compilation of tables or transformation models that carry a common tag, like all ‘P1’ models that require high-priority management.

Benefits of creating data products

Data products give you an easy way to manage the end reliability of your business-critical data.

• Understand end-end health—understand all monitors and tests on the data product and its upstream dependencies.
• Set relevant monitors—one-click monitor setup based on your data product definitions.
• Define and activate ownership—manage ownership and alerting on the data product level.
• Communicate uptime & SLAs—see historical issues and share insights around quality scores and test coverage of the data product.

Understanding a data product

Data products are simple on the surface but complex under the hood. The key concepts to understand around a data product are lineage, assets, definitions, historical uptime, product health, and upstream health.

A Data Product has four sections:

1. Overview-key information about the data product assets, current status, and health over the past 15 days.
2. Issues-list all the issues that are currently affecting your data product.
3. Lineage-the relationships between your product’s assets.
4. Settings-modify your product’s name, alert settings, owner, and assets.

Data Product overview:

• Summary—platforms, priority, description, and a summary of the quality score and coverage
• Related incidents & issues—shows all issues and incidents on or upstream of the data product
• Lineage—data assets and data products up and downstream of the data product
• Assets—all data assets that are part of the data product definition

Creating a data product

1. Go to Creating a data product

Modifying or deleting a data product

1. Navigate to Products
2. Click the three dots for the data product you want to modify and select Settings to edit it or Delete to delete it.