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Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
A list of useful resources to learn Data Engineering from scratch
Best practices for data workflows, integrations with the Modern Data Stack (MDS), Infrastructure as Code (IaC), Cloud Provider Services
Monte Carlo simulation of the NBA season, leveraging dbt, duckdb and evidence.dev
"Modern Data Stack in a Box," using all open-source tools
Minimalistic and free Modern Data Stack, hence for all. ELT layer.
A minimal modern data stack with working data pipelines in a single Docker container.
Lightweight, open source, locally-hosted Modern Data Stack
Modern Data Stack pipeline, with Airbyte, Airflow, dbt, Snowflake and Metabase
Welcome to StreamlineDE, an end-to-end data engineering project designed to demonstrate real-time data ingestion, processing, and storage using a modern data engineering stack. This project showcas…
POC for open source modern data stack using dbt, airbyte, dagster, postgres and docker
Modern Data Stack with DBT, PySpark, PostgresSQL and Docker
A minimal modern data stack with working data pipelines in a single Docker container.
Set up a Cost-Effective Modern Data Stack for a Charity
End-to-end data platform leveraging the Modern data stack
This repo demonstrate a comprehensive modern data stack using popular open-source tools.
This repo helps bootstrap the infrastructures with a modern data stack on Google Cloud Platform using Terraform.
Modern Data Stack in a box with dbt-duckdb and Apache Superset
Scalable and efficient data transformation framework - backwards compatible with dbt.
A portable Datamart and Business Intelligence suite built with Docker, Dagster, dbt, DuckDB and Superset
Slow & local data allows you to move fast and deliver business value for the 99.9% of the data challenges.