Build a Governed Crop Metrics Hub with dbt, MetricFlow and PostgreSQL
Group: Capstone Project
Product Category: Cloud & Data Engineering
Sub Category: Data Build Tool (DBT)
Solution Available
Source code, datasets, and other related files for the solution will be provided.
Prerequisites
About this Product
Build a Governed Crop Metrics Hub with dbt, MetricFlow and PostgreSQL is an analytics engineering capstone that builds Verdantrail Crop Metrics Hub, a contract-first dbt project for a fictional agritech company with 250 crop parcels. Five raw feeds land in PostgreSQL, move through staging, intermediate, mart, and semantic layers, and end in seven governed metrics defined once. Bad records never reach the marts: they are quarantined with a reason code and shown on a quality scorecard. It runs locally with dbt and PostgreSQL, so no cloud warehouse is needed.
With this product, you’ll build a project that can:
- Generate seeded daily source drops with injectable faults and a fault manifest
- Check each drop against a source contract and reject schema drift without blocking other sources
- Load raw data idempotently into range-partitioned PostgreSQL tables
- Clean and deduplicate in staging with enforced dbt model contracts, quarantining bad rows with reason codes
- Model a parcel-day star schema with a type 2 dimension and a versioned mart (v1 to v2)
- Define seven governed metrics in a MetricFlow semantic layer
- Test every layer with severity policy, reconciliation tests, and a quality scorecard
- Speed up the daily build with incremental merge models and indexes, proven by a benchmark report
- Log every run and document it with ADRs, a runbook, and dbt docs
Building this product gives you hands-on experience in:
- dbt project design
- Data contracts
- Semantic layer
- Data quality engineering
- Performance engineering
It uses Python, dbt-core, dbt-postgres, dbt-metricflow, PostgreSQL, psycopg, Faker, and pytest, and runs on Windows or macOS with Docker optional.
Why this product matters: analytics engineering roles are about trusted, consistent numbers. This capstone teaches how to define a KPI once, protect marts from bad data, and change models safely.
Resources
The complete Build a Governed Crop Metrics Hub with dbt, MetricFlow and PostgreSQL Business Requirements Document (BRD) is available as a Read-Only attachment. It provides the complete project specification for Verdantrail Crop Metrics Hub, including the business context, objectives, scope, requirements, use cases, and design expectations. Review the BRD carefully before starting the implementation.
Asset Contents:
- Project overview and business objectives
- In-scope and out-of-scope definitions
- Functional and non-functional requirements
- Business rules and metric definitions
- Key use cases and workflows
- Actors, data model, and layer contracts
- Failure scenarios, architecture, and fault catalogue
- Acceptance criteria and requirements traceability
Topics
Skills
Languages
English
Level
Advance
Business Domain
Agriculture & Agritech
Project Mentors
Labs • Projects • Practice
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