Data products and their contracts are becoming popular as lightweight mechanisms for scalable data management, helping ensure that data quality is not an afterthought but a fundamental consideration at every stage of the lifecycle.
Data Products
Data products are curated outputs derived from raw data that provide value to end users, typically in the form of insights, actionable information, or analytics. They are created through various stages of the data engineering lifecycle, including ingestion, storage, transformation, and serving. Data products can take many forms, such as reports, dashboards, machine learning models, or APIs.
Figure B-1 illustrates a general structure for designing a data product using the Data Product Canvas. This framework supports scalable data governance by guiding the creation of consistent, reliable, and well-documented data products. Each data product consists of eight key building blocks:
Domain name
Data product name
Consumer and use case
Data contract (more on this in a moment)
Documentation of data sources
Data product architecture, including transformation pipelines and lineage
Ubiquitous language, to establish a shared understanding of terminology
Classification of the data product (source-aligned, aggregate, or consumer-aligned)
Figure B-1. The Data Product Canvas provides a structured ...
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