Data Product Features
A data product stands out on two important characteristics:
User Experience
It is a self-contained interface to get answers to questions and, in most cases, is consumed via a self-service interface.
Trust
It has a trusted owner who is accountable for both its quality and reliability.
Maximizing Business Efficiency
Data products enhance business productivity as are reusable and discoverable within a data products catalog. The catalog shows all the attributes, rating and KPIs which takes the guesswork out of data consumers trying to figure out which version of truth to believe.
Data fabrics play a crucial role in building high-quality, scalable, and reusable, data products by providing a robust infrastructure for data access, governance, and development. They streamline access to multiple underlying data sources through pre-built integrations. They consolidate metadata across diverse data sources, providing a single point of access and streamlining discovery and understanding of available data assets.
Ensure Quality and Scalability in Data Products
Automated data quality checks and continuous monitoring ensure data accuracy and consistency, leading to more reliable and trustworthy data products. Fine-grained access control mechanisms based on roles and permissions ensure data governance, protecting sensitive information and enabling compliance. Finally, clear tracking of data origin, transformations, and usage history makes data products more transparent and auditable.
Data fabrics can easily scale to accommodate growing data volumes and support new data sources, making data products more adaptable and future-proof. They offer easier access and exploration of data can foster innovation and experimentation, leading to the development of new and valuable data products.
