Data Products Catalog

Blindata's Data Products Catalog is the registry for managing data as a product: ownership, dependencies, and governance in one place. Pair it with the Marketplace to govern how teams consume data, and enable Data Ops to keep standards intact from development to publication.

data-products-catalog-video.gif

Overview

A data product catalog is the foundation for managing data as a product: a single registry of what exists, who owns it, how products depend on each other, and which governance rules apply. Its primary aim is to promote reusable, well-governed data products instead of isolated analytical silos.

Blindata’s catalog centralizes that portfolio metadata so teams can collaborate, discover, and trust what they find. On its own, it gives producers and governance leads a complete view of the estate. Together with the integrated Marketplace, it closes the loop on consumption: consumers browse certified products, request access with business context, and owners retain an auditable record of who uses what and why.

For organizations ready to operationalize data-as-a-product practices, Data Ops can be enabled as a complementary module. It helps teams design, build, and publish products through blueprints, descriptors, and lifecycle gates, so governance, contracts, and documentation stay current as products evolve, not only at catalog time but throughout the delivery workflow.

Features

Blindata brings together catalog metadata, governed consumption, and optional delivery workflows so you can manage, discover, and maintain data products across the full lifecycle.

Marketplace

Turn the catalog into a governed storefront: consumers discover certified data products, request access with intended use, and product owners track consumption, closing the governance loop beyond inventory alone.

Data Ops

Enable when you need to operationalize data-as-a-product: blueprints, descriptors, and lifecycle gates help teams build and publish while keeping ownership, contracts, and policies maintained from draft to production.

Dependencies

Map how data products connect across your portfolio: explore product-to-product relationships, drill down to port-level dependencies, and understand impact before you reuse, change, or decommission an asset.

Responsibilities

Define roles on data products, domains and data assets, and assign responsibilities to individuals or teams within the organization.

Computational Policies

Automate compliance checks and other governance processes.

Documentation and extensible model

Enrich data products with custom fields and markdown-based documentation.

How to

Data products can be organized in domains by categorizing them based on their subject matter or functionality. Establishing clear domain boundaries facilitates efficient data discovery and usage and enables a solid management of roles and responsibilities. Blindata offers a dedicated section to manage domains, allowing to catalog, document, assign responsibilities and track dependencies with other domains.

Document and catalog your data product ports, facilitating discovery and utilization by other teams and individuals. Data assets can be associated within the port to ensure a comprehensive understanding and effective utilization of data resources.

Exploring dependencies becomes straightforward with the high-level lineage chart showcasing connections between data products. This chart can be extended to reveal dependencies at the port level. For a deeper dive, the Blindata Lineage module offers an in-depth analysis, leveraging automatic lineage generation from SQL statements.

Monitoring key quality indicators on data product ports enables the assurance of reliability and trustworthiness of the data product itself, while also aiding compliance with established data contracts.