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Link a dbt project for ELT modeling

Connect your repo, run tests, and manage lineage inside InsightLake.

25 min Intermediate Data Engineer Updated Oct 1, 2025
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Overview

Connect your repo, run tests, and manage lineage inside InsightLake.

Prerequisites

  • Git repository with dbt project and profiles.yml

Permissions required

projects:write datasets:write

Downloads & Templates

Sample dbt project skeleton

Spec

Steps (3)

Estimated: 25 min
  1. 1

    Connect repo

    Data Engineer 6 min Back to top

    Modeling → dbt → **Link Repo**. Authenticate and select branch.

    Tips

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    Validation

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    Success criteria

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  2. 2

    Configure targets

    Data Engineer 8 min Back to top

    Set environment, warehouse connection, and vars; run `dbt debug`.

    Tips

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    Validation

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    Success criteria

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  3. 3

    Run & schedule

    Data Engineer 11 min Back to top

    Execute `dbt run` and `dbt test`; schedule hourly or nightly jobs.

    Tips

    —

    Validation

    —

    Success criteria

    • Lineage graph renders; tests pass; models feed dashboards.

About this guide

InsightLake centralizes analytics for your Velaxe workspace. Connect built-in streams from Agent Desk, LiveConnect, PulseGate, VoiceLink, FlowForge, Chronicle, ActionDesk, PayStream, SecureStore, AppBazaar, ProductCatalog, and Chat Core—plus curated external sources like GA4, Stripe, and Shopify.

Data is modeled into conformed dimensions and fact tables for predictable analysis. Publish templated dashboards in one click, build custom boards with a drag-and-drop builder or SQL, and schedule alerts and exports. Governance features include row-level security, column masking for PII, audit logs, and retention controls.

InsightLake is designed for speed and reliability with streaming ingestion, materialized views, and SLAs for load times and export delivery.