Data Products
What is Data Products
Data Products in the Acceldata Data Observability Cloud (ADOC) platform allows users to group related data assets — such as tables and views — into a single, named, business-meaningful unit. Instead of monitoring assets in isolation, you manage and observe them as a coherent product with a unified health view, ownership, and a presence in a searchable Marketplace.
Why Data Products
Data assets are typically managed at the technical level — individual tables, pipelines, or schemas. But business teams reason in terms of products: Customer 360, Revenue Metrics, Inventory Feed. This gap makes it difficult to answer questions such as:
- Is this dataset production-ready for my team to use?
- Which assets make up our monthly reporting product, and are they all healthy?
- Who owns this data and how do I request access?
Data Products bridges this gap. By treating data as a product, your organization can:
- Surface a single health score for an entire product rather than checking each asset individually.
- Make data discoverable to consumers through a shared Marketplace, without requiring knowledge of underlying technical names.
- Assign clear ownership and Quality SLA monitoring at the product level.
- Track reliability, quality, and freshness trends over time for the product as a whole.
Key concepts
Term | Description |
Data Product | A named collection of one or more data assets (tables or views) that represents a business entity. It includes an owner, description, health scores, Quality SLAs, and a presence in the Data Products Marketplace. |
Data Product Owner (DPO) | The user responsible for creating, managing, and publishing a Data Product. The DPO is accountable for the product's health and Quality SLA posture. |
Health Score | A composite score (0–100) aggregated from the Reliability, Data Quality, Freshness, Schema Drift, and Data Drift scores of the assets within the product. Calculated as a simple average across member assets. |
Quality SLAs | Policy coverage commitments configured on a Data Product, covering Data Quality, Reconciliation, Data Freshness, Profile Anomaly, and Data Drift. ADOC monitors compliance against these SLAs across all member assets. |
Data Products Marketplace | The discovery interface within ADOC where all published Data Products are listed. Any authenticated user with the Data Products feature permission can browse, search, and request access. |
Lifecycle State | The current status of a Data Product: Draft (not yet published) or Published (visible in Marketplace). |
Custom Field | An administrator-defined metadata field that extends the standard Data Product form. See [Data Products |
How Data Products work
When you create a Data Product, you define its name, description, and business justification, then select the assets (tables or views) to include. ADOC aggregates the health scores from those assets into a single product-level score for each metric — Reliability, Data Quality, Freshness, Schema Drift, and Data Drift — using a simple average.
Scores are calculated and persisted on a schedule, not in real time, so that trend charts remain available for historical analysis. Once published, the Data Product appears in the Data Products Marketplace, where consumers across your organization can discover it, review its health, and request access. Reliability Score values shown throughout Data Products — including the per-asset Reliability Score in the Assets tab and the Reliability Score badge on Marketplace cards — use the same scoring methodology and computation configured under Settings > Data Reliability > Score aggregation methodology, consistent with the Reliability Score shown on Asset Overview, Policies tab, Discover Assets, and Reliability Explorer. SeeScore Aggregation Methodology for details.
Note
In this version, Data Products support Table and View assets only. Pipeline assets are not supported.
Who can use Data Products
Role | What They Do |
Data Product Owner (DPO) | Creates, manages, and publishes Data Products. Configures asset membership, Quality SLAs, tags, and availability. |
Data Engineer / Platform Engineer | Monitors Data Product health scores and trends. Identifies assets with missing policy coverage. |
Data Steward / Governance Lead | Reviews published products for Quality SLA compliance. Manages access requests. |
Business Analyst / Data Scientist | Discovers and evaluates Data Products via the Marketplace. Requests access to products that meet their use case. |
Any Authenticated User | Browses the Data Products Marketplace and views the details of published products they have access to. |
What's Next
- Data Products | Creating and Managing: Create, edit, publish, and retire a Data Product.
- Data Products | Detail Page: Explore the Overview, Assets, Quality SLA, Policies, Lineage, Documentation, Reviews, and Versions tabs.
- Data Products | Marketplace: Browse, search, and view published Data Products.
- Data Products | Sharing and Audit Logs: Share a Data Product with user groups and track activity in the Audit Logs.
- Data Products | Custom Fields: Define administrator-managed metadata fields for Data Products.
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