Fluid Forge
Why Forge
Concepts
Get Started
  • Consume a Data Product
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GitHub
Why Forge
Concepts
Get Started
  • Consume a Data Product
  • See it run
  • Demos
  • Local (DuckDB)
  • Source-Aligned (Postgres → DuckDB)
  • AI Forge + Data Models
  • MCP Output Port — Serve to AI Agents
  • GCP (BigQuery)
  • Snowflake Team Collaboration
  • Declarative Airflow
  • Orchestration Export
  • Jenkins CI/CD
  • Universal Pipeline
  • 11-Stage Production Pipeline
  • Catalog Forge End-to-End
CLI Reference
  • Agent Policy (concept)
  • MCP Output Port — Serve to Agents
  • MCP deep-dive
  • AI-assisted authoring
  • LLM providers & backends
  • Overview
  • Quickstart
  • Examples
  • Your own CI
  • Your own scaffolding
  • Custom validator
  • Apply hook
  • Reference
  • Overview
  • Architecture
  • GCP (BigQuery)
  • AWS (S3 + Athena)
  • Snowflake
  • Local (DuckDB)
  • Custom Providers
  • Roadmap
GitHub
  • Introduction

    • Home
    • Why Fluid Forge
    • Getting Started
    • Snowflake Quickstart
    • See it run
    • Forge Data Model
    • Vision & Roadmap
    • Playground
    • FAQ
  • Concepts

    • Concepts
    • Builds, Exposes, Bindings
    • What is a contract?
    • Quality, SLAs & Lineage
    • Governance & Policy
    • Agent Policy (LLM/AI governance)
    • Providers vs Platforms
    • Fluid Forge vs alternatives
  • Data Products

    • Consume a Data Product
    • Product Types — SDP, ADP, CDP
  • Walkthroughs

    • Walkthrough: Local Development
    • Source-Aligned: Postgres → DuckDB → Parquet
    • AI Forge And Data-Model Journeys
    • Walkthrough: MCP Output Port
    • Walkthrough: Deploy to Google Cloud Platform
    • Walkthrough: Snowflake Team Collaboration
    • Declarative Airflow DAG Generation - The FLUID Way
    • Generating Orchestration Code from Contracts
    • Jenkins CI/CD for FLUID Data Products
    • Universal Pipeline
    • The 11-Stage Pipeline
    • End-to-End Walkthrough: Catalog → Contract → Transformation
  • CLI Reference

    • CLI Reference
    • Core workflow

      • fluid init
      • fluid demo
      • fluid forge
      • fluid validate
      • fluid plan
      • fluid apply
      • fluid diff
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    • Build & ship

      • fluid bundle
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      • fluid ai
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    • Quality & governance

      • fluid test
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      • fluid contract-validation
      • fluid policy
      • fluid policy check
      • fluid policy compile
      • fluid policy apply
    • Standards & interoperability

      • fluid odps
      • fluid odps-bitol
      • fluid odcs
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      • fluid export-odps
      • fluid exporters
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    • Project & workspace

      • fluid product-new
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    • Catalog adapters

      • Source Catalog Integration (V1.5)
      • Publishing to a Catalog — Overview
      • BigQuery Catalog
      • Snowflake Horizon Catalog
      • Databricks Unity Catalog
      • Google Dataplex Catalog
      • AWS Glue Data Catalog
      • DataHub Catalog
      • Data Mesh Manager Catalog
      • OpenMetadata Catalog
    • CLI by task

      • CLI by task
      • Add quality rules
      • Add agent governance
      • Debug a failed pipeline run
      • Switch clouds with one line
  • Recipes

    • Recipes
    • Recipe — add a quality rule
    • Recipe — switch clouds with one line
    • Recipe — tag PII in your schema
    • Write a contract that consumes another contract
    • Generate per-environment overlays
  • SDK & Plugins

    • SDK & Plugins
    • Quickstart — your first plugin
    • Examples

      • Runnable examples
      • Example: hello-scaffold — the minimal viable plugin
      • Example: gitlab-ci-scaffold — generate a complete CI project
      • Example: steward-validator — a custom governance rule
      • Example: prod-key-guard — apply-time invariant check
    • Journeys

      • Journeys
      • Your own CI/CD

        • You have your own CI/CD setup, no problem
        • GitLab CI — the bundle template
        • GitHub Actions — the bundle template
        • Jenkins — the bundle template
        • CircleCI — the bundle template
      • You have a strict project layout, no problem
      • You have governance rules, no problem
      • You want a check at apply time, no problem
    • Reference

      • Reference
      • Roles reference
      • Entry points reference
      • Trust model
      • Packaging
      • Companion packages
  • Providers

    • Providers
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  • AI & Agents

    • MCP Server
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    • Forge Discovery Guide
    • Forge Memory Guide
    • Authoring Forge Tools
    • Guided fluid forge UX
    • LLM Providers
    • LiteLLM Backend
    • Capability Warnings
    • Cost Tracking
    • FLUID Forge Contract GPT Packet
    • Agentic Primitives
  • Operate & Deploy

    • Airflow Integration
    • Blueprints
    • Source-Aligned Acquisition
  • Govern & Secure

    • Governance, Compliance & the Business Case
    • Governance & Compliance
    • Network Safety
    • Credential Resolver — Security Model
  • Configuration & Reference

    • Environment Variables
    • Typed Errors
    • Typed CLI Errors
    • API Stability — fluid_build.api
  • Architecture & Releases

    • V1.5 Catalog Integration — Architecture Deep-Dive
    • V1.5 + V2 Hardening — Release Notes
  • Project

    • Contributing to Fluid Forge
    • Fluid Forge Docs Baseline: CLI 0.9.0
    • Fluid Forge Docs Baseline: CLI 0.8.11
    • Fluid Forge Docs Baseline: CLI 0.8.10
    • Fluid Forge Docs Baseline: CLI 0.8.9
    • Fluid Forge Docs Baseline: CLI 0.8.8
    • Fluid Forge Docs Baseline: CLI 0.8.7
    • Fluid Forge Docs Baseline: CLI 0.8.6
    • Fluid Forge Docs Baseline: CLI 0.8.5
    • Fluid Forge Docs Baseline: CLI 0.8.4
    • Fluid Forge Docs Baseline: CLI 0.8.3
    • Fluid Forge Docs Baseline: CLI 0.8.0
    • Fluid Forge Docs Baseline: CLI 0.7.11
    • Fluid Forge Docs Baseline: CLI 0.7.9
    • Fluid Forge v0.7.1 - Multi-Provider Export Release

Governance & Compliance

FLUID embeds governance directly into your data product contracts — access policies, data classification, and compliance checks all defined as code alongside your schema.

Governance Commands

fluid policy-check

Validate a contract against schema-driven governance policies.

fluid policy-check contract.fluid.yaml
OptionDescriptionDefault
--env <name>Environment overlay (dev, staging, prod)—
--strictTreat warnings as errorsfalse
--category <name>Filter checks: sensitivity, access_control, data_quality, lifecycle, schema_evolutionAll
--output, -oOutput report to fileConsole
--formatrich, text, or jsonrich
--show-passedInclude passed checks in outputfalse

Example output:

┌─ Policy Check Results ─────────────────────┐
│ ✅ sensitivity     3/3 passed              │
│ ✅ access_control  2/2 passed              │
│ ⚠️  data_quality   1 warning               │
│ ✅ lifecycle       1/1 passed              │
└─────────────────────────────────────────────┘

fluid policy-compile

Compile accessPolicy declarations from a FLUID contract into provider-native IAM bindings.

fluid policy-compile contract.fluid.yaml --out runtime/policy/bindings.json
OptionDescriptionDefault
--env <name>Environment overlay—
--out <path>Output path for compiled bindingsruntime/policy/bindings.json

fluid policy-apply

Apply compiled IAM bindings to the target cloud provider.

# Dry-run (default)
fluid policy-apply runtime/policy/bindings.json --mode check

# Actually enforce
fluid policy-apply runtime/policy/bindings.json --mode enforce
OptionDescriptionDefault
--modecheck (dry-run) or enforce (apply changes)check

Defining Policies in Contracts

Access Policies

Define who can access each data asset:

exposes:
  - exposeId: customer_table
    kind: table
    accessPolicy:
      - role: READER
        members:
          - user:analyst@company.com
          - group:data-team@company.com
      - role: WRITER
        members:
          - serviceAccount:etl@project.iam.gserviceaccount.com

Data Classification

Tag sensitive columns for automatic masking and access control:

contract:
  schema:
    fields:
      - name: email
        type: STRING
        sensitivity: PII
      - name: credit_card
        type: STRING
        sensitivity: Financial
      - name: country
        type: STRING
        # No sensitivity tag = publicly accessible

Data Quality Rules

contract:
  quality:
    - field: email
      rule: not_null
    - field: price
      rule: positive
    - field: created_at
      rule: not_future

Governance Workflow

# 1. Write your contract with access policies
# 2. Check governance compliance
fluid policy-check contract.fluid.yaml --strict

# 3. Compile to provider-native IAM
fluid policy-compile contract.fluid.yaml

# 4. Preview what would change
fluid policy-apply runtime/policy/bindings.json --mode check

# 5. Enforce in production
fluid policy-apply runtime/policy/bindings.json --mode enforce

Policy Categories

CategoryWhat It Checks
sensitivityPII tags, data classification completeness
access_controlIAM policies, least-privilege, role definitions
data_qualityNOT NULL constraints, type validation, range checks
lifecycleRetention policies, expiration, archival rules
schema_evolutionBreaking change detection, backward compatibility

CI/CD Integration

Run governance checks as a gate in your deployment pipeline:

# Fail the pipeline if any governance check is violated
fluid policy-check contract.fluid.yaml --strict --format json --output report.json

See Also

  • GCP Provider — GCP-specific IAM, policy tags, data masking
  • AWS Provider — AWS IAM policies, sovereignty, EventBridge
  • Snowflake Provider — Snowflake RBAC, warehouse grants
  • apply command — deploy with governance enforcement
  • CLI Reference — all available commands
  • Contributing — help improve governance features
Edit this page on GitHub
Last Updated: 4/16/26, 11:38 AM
Contributors: Jeff Watson, jeffwatson-ai
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