Supplementary Materials for the The Complete dbt (Data Build Tool) Bootcamp Udemy course
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Updated
Mar 25, 2026 - Python
Supplementary Materials for the The Complete dbt (Data Build Tool) Bootcamp Udemy course
This dbt package captures metadata, artifacts, and test results so you can detect anomalies, monitor data quality, and build metadata tables. It powers Elementary OSS and feeds the wider context layer used by Elementary Cloud’s full Data & AI Control Plane.
Main repo including core data model, data marts, data quality tests, and terminology sets.
re_data - fix data issues before your users & CEO would discover them 😊
dbt adapter for connecting to MindsDB
Streamlit app providing example reports highlighting common analyses within the billing domain. Built using a Fivetran billing connector and the respective Fivetran data model.
DBT Package reproducing dbt incremental materialization leveraging on Snowflake streams
AI-driven quality & governance MCP Server for dbt projects. Audit coverage, profile data, detect schema drift, and auto-generate documentation — all through natural language with your AI assistant.
Build your feature store with macros right within your dbt repository
The warehouse-native LLM evaluation package for dbt™ - monitor AI quality without data egress
The Airbyte Interop Catalog. Tools, guides, and reusable dbt packages which help users join together Airbyte datasets and 3rd party schemas.
Maîtriser la construction d'un pipeline de données professionnel en traitant des données réelles volumineuses de NYC Taxi.
dbt Datasphere Plugin is for integrating multiple open-source data quality frameworks into your dbt projects. It unifies Soda SQL, Great Expectations, Datafold, providing a single interface to configure and run data quality checks.
A python wrapper for generating dbt schema.yml and .md files.
This repository is a hands-on dbt practice project built to understand how dbt works end-to-end using a Medallion architecture (Bronze → Silver → Gold) on Databricks, with seeds, tests, snapshots, and environment targets. The goal of this project is learning dbt fundamentals the right way, before applying them to real production projects.
A proof-of-concept dbt project that deploys dbt docs sites on S3 for each branch opened. Site link below 👇 password 123
Docker deployment of Dagster, DBT, and OpenMetadata
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