dbt adapter for SQL Server and Azure SQL
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Updated
May 26, 2024 - Python
dbt adapter for SQL Server and Azure SQL
dbt package that is part of Elementary, 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.
The Trino (https://trino.io/) adapter plugin for dbt (https://getdbt.com)
Project demonstrating how to automate Prefect 2.0 deployments to AWS ECS Fargate
Example repository showing how to build a data platform with Prefect, dbt and Snowflake
A Python package that creates fine-grained dbt tasks on Apache Airflow
🥪🏭 A simple CLI for generating synthetic Jaffle Shop data.
Amora Data Build Tool enables analysts and engineers to transform data on the data warehouse (BigQuery) by writing Amora Models that describe the data schema using Python's "PEP484 - Type Hints" and select statements with SQLAlchemy. Amora is able to transform Python code into SQL data transformation jobs that run inside the warehouse.
Data Engineering Project using NYC Citi Bike data for years 2019, 2020, and 2023
Minha resolução para um teste prático de uma vaga de Analytics Engineer Júnior
Don't ETL or ELT. LET your data be free.
Baseado no Bootcamp de Engenhaira de Dados da XP Educação
Automatically generate DBML files from Snowflake databases for quickly reverse engineer interactive ER diagrams and documentation from your Snowflake DB. Ideal for data engineers and analysts, it supports custom primary key configurations and relationship inference.
My final project for the Data Talks Club Data Engineering Zoomcamp
This util helps manage dbt run configs so you don't need to keep searching through your command line history for the models to run for building and testing your dbt projects. This is useful for when you are switching contexts between different work tasks.
Get started with Prefect by scheduling your Prefect flows with GitHub Actions
This repo contains an end-to-end analytics engineering project within the marketing domain. Utilisation of DBT semantic layer is introduced in this project to standardize metrics definition that will be used later to produce end data products.
End-to-end pipeline with dbt, BigQuery, and Streamlit on Google Trends public dataset
Pulling propagation data for my ham radio station for analysis. Version with dbt.
Based on Zack Wilson's Data Engineering Bootcamp
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