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Data Extracts

This domain groups systems that solve Data Extracts problems - shared vocabulary, common interfaces, and repeatable operational constraints. Use this page to see which systems already exist, what they ingest and emit, and which patterns we repeatedly rely on in this problem space.

Domains are how we avoid reinventing the same solution in slightly different shapes. When a domain repeats, it’s a signal to standardize schemas, mapping layers, auth patterns, and operator workflows.

Domain guide

How to read this domain

Definition

This domain groups systems focused on data extracts workflows, shared data models, and repeatable operational constraints.

What belongs

  • Systems where data extracts is the primary problem space.
  • Integrations that move, validate, or enforce data in this domain.
  • Operational tools that reduce risk and manual work for this domain.

What doesn't

  • Generic tools where data extracts is incidental metadata.
  • One-off experiments without domain-specific constraints.

Typical integrations and constraints

  • Source-of-truth feeds, vendor APIs, and scheduled extracts.
  • Schema drift, credential scope, and compliance requirements.
  • Role-based access and operational review cycles.

Common interfaces

  • REST/JSON APIs and vendor export endpoints.
  • CSV, SQL views, or Sheets-based boundary objects.
  • Auth boundaries (service accounts, OAuth, SSO).

Common patterns and playbooks

Reproducible Extracts Self Contained Setup Tunnel Lifecycle

No playbooks mapped yet.

Results 1 project
Component · Deprecated

Rust SQLx Tooling (Integrated SSH Tunnel)

Make remote data extraction reproducible by managing SSH tunnel setup and teardown in the tool. It ingests SSH target; DB creds; query definitions and produces …

Reality Ingestion Automation Engines Operational Adoption
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