Overview

Learn how to build, govern, and consume Data Products with DataOS.

DataOS is a platform for building, governing, and consuming Data Products. This documentation teaches you to build, govern, and consume Data Products on your existing warehouse, Lakehouse, or catalog. Learn the concepts, workflows, roles, and technical references for each stage.

Start here. Choose the path that matches what you want to do. Or ask AI:

New to DataOS?

Start with core concepts, a Data Product journey, and guidance for building, governing, and consuming Data Products.

DataOS Philosophy Explore DataOS design principles.

Data Product Journey Follow the product journey.

Build journey Build your Data Product.

Consume journey Consume trusted Data Products.

Find your role

Find guidance for the role you perform, from Data Plane setup to governed consumption.

DataOS Operator Operate the Data Plane.

Tenant Admin Manage your DataOS Tenant.

Data Admin Govern Lakehouse data assets.

Data Product Developer Build and operate products.

Data Product Consumer Use trusted Data Products.

Start building

Learn to extract, load, and productize data into a governed Data Product.

Before you begin Prepare your build environment.

Understand Inspect your source data.

Move Move your raw data.

Productize Create governed Data Products.

Start consuming

Learn to discover, evaluate, and activate a Data Product through BI tools, APIs, database clients, or AI agents.

Before you begin Prepare to consume products.

Discover Discover trusted Data Products.

Evaluate Verify product trust signals.

Activate Connect your consumption tools.

Connect an MCP client Connect your AI client.

References

Find technical manuals, resource specifications, interface references, and core terms.

Engines Configure Data Product engines.

Resources Reference DataOS resources.

Interfaces Connect to Data Products.

Glossary Look up DataOS terms.