What is
Data Product.
An authentic data product goes beyond a mere table; it is a self-sufficient, deployable structure that includes code, data, and the necessary infrastructure.
The Three Pillars
Each autonomous Data Product consists of three separate components that are deployed and managed collectively as a unified entity.
Data & Metadata
The historical and current datasets are enriched with detailed semantics, schemas, and cataloging information to ensure the data is both comprehensible and practical.
Code & Logic
The necessary pipelines, transformations, API endpoints, access control policies, and testing scripts to securely ingest, process, and serve the data.
Infrastructure
The product is run using Infrastructure-as-Code to provision storage buckets, compute clusters, orchestrators, and other physical or cloud resources.
Standardized Interfaces (Ports)
In order to preserve autonomy and enable interoperability within the organization, Data Products use clearly defined 'ports' to communicate with external systems.
Output Ports
The main interfaces available to consumers are highly dependable REST APIs, GraphQL, traditional SQL views, and event streams optimized for seamless integration.
Input Ports
The methods employed to safely transfer operational data or data from other data products into the current product's storage.
Control & Discovery Ports
Interfaces enable central governance platforms to automatically monitor SLA metrics, audit logs, schema registries, and enforce global security policies.
// Sample Output Port config
{
"product_id": "customer_360",
"version": "v1.2.0",
"output_ports": [
{
"type": "SQL",
"endpoint": "snowflake://db/schema/vw_customers",
"sla": "99.9%",
"refresh_rate": "real-time"
},
{
"type": "REST_API",
"endpoint": "https://api.data.inc/v1/customers",
"auth": "OAuth2"
}
]
}Ready to Architect Your First Data Product?
Merge a positive mindset with the appropriate technical framework. Master the art of seamlessly encapsulating data, code, and infrastructure.