BigQuery data products now in preview

A data product allows data producers to manage their data as product, which entails the following:

• Build for use cases: Identify the customer, use case, and build a data product with one or more assets that addresses the use case.
• Establish ownership: Define the owner and contact information for the data product, helping to ensure accountability and provide trust for consumers.
• Democratize context: Distribute valuable context about the problems the product addresses, usage examples and expectations. 
• Streamline contracts: Provide data consumers the ability to annotate details on data freshness and quality to provide trust and cut down time to insight. 
• Govern assets: Control who can view the product and regulate access to the data that’s distributed via the data product. 
• Discover data: Provide data consumers the ability to easily discover and search data products.
• Distribute data: Distribute the data product beyond the organization’s boundaries into private consortiums or to the public via a data exchange.
• Evolve offerings: Iterate and evolve the product to address consumer needs.

When data producers build assets that address use cases and manage data as a product, it allows data teams to be more efficient, with:

• Reduced redundancy: By creating standardized and reusable data products, data teams avoid building the same datasets or pipelines repeatedly for different users or purposes. This frees up their time and resources.
• Better prioritization: Treating data as a product helps data teams prioritize their work based on the value and impact of each data product, aligning their efforts with business needs.
• Demonstrable ROI: By tracking the usage and the impact of a data product, data teams can better measure and communicate the value of their work to the organization.
• Built-in data governance: In the future, data products will be able to incorporate governance policies and compliance workflows, helping to ensure that data is managed responsibly and consistently.

Finally, all of these translate to efficiency for the data consumer by reducing the toil involved in finding the right asset. Data consumers get faster access to insight, since anyone within the organization can search, browse, and discover data products, as well as subscribe to the data product. They also get increased trust, because when data is well-defined, reliable, and properly documented, it’s easier to select the right data for a given use case.

Data products in BigQuery provide the building blocks and controls you need to manage data as a product. It leads to faster access to insights for data consumers through business-outcome-driven data management, maximizing value to the organization. 

Are you ready to unlock the untapped potential of your data? Sign up for the experimental preview here.