The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
-
Updated
Jun 11, 2024 - HTML
The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
re_data - fix data issues before your users & CEO would discover them 😊
Metrics Observability & Troubleshooting
dbt tutorial using a local PostgreSQL database
Integrating Apache Airflow, dbt, Great Expectations and Apache Superset to develop a modern open source data stack.
Apply Data Engineering to Personal Finance
dbt native framework built to observe modern data stack
Neste projeto, foi utilizado dbt, Great Expectations, Python e Pandas para transformar e validar o dataset "Inside Airbnb". As ferramentas asseguram dados de qualidade, preparados para análises.
This is a quick guide on how to get started and create your data models using dbt (data build tool). dbt is a Python-based packaged for managing Transformations in the ELT (Extract, Load, Transform) lifecyle.
Web application to explore BigQuery tables and views tagged in Google Cloud Data Catalog with dbt tags
A scalable datawarehouse built using Airflow, DBT, Redash, and Postgres
classroom_analytics_enginnering
A repo with examples for a more advance dbt_ teach-in session
Repo centralizando testes realizados usando o DBT
Add a description, image, and links to the dbt topic page so that developers can more easily learn about it.
To associate your repository with the dbt topic, visit your repo's landing page and select "manage topics."