dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
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Updated
May 20, 2023 - Python
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
MetricFlow allows you to define, build, and maintain metrics in code.
do more with dbt. fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.
Structr is an integrated low-code development and runtime environment that uses a graph database.
The best place to learn data engineering. Built and maintained by the data engineering community.
Data modeling and relation library for testing JavaScript applications.
A hackable data integration & analysis tool to enable non technical users to edit data processing jobs and visualise data on demand.
Python library and web service for Open Source Software Health and Sustainability metrics & data collection. You can find our documentation and new contributor information easily here: https://chaoss.github.io/augur/ and learn more about Augur at our website https://augurlabs.io
Powerful product analytics for data teams, with full control over data & models.
Personal Data Engineering Projects
Framework that joins data models, schemas, code generation, and a task engine. Language and technology agnostic.
Typed struct and value objects
Tellery lets you build metrics using SQL and bring them to your team. As easy as using a document. As powerful as a data modeling tool.
Sample databases for postgres
Repository for the ActivitySchema spec and supporting materials
A simple, easy to use data modeling framework for JavaScript
Projects done in the Data Engineering Nanodegree by Udacity.com
This repo contains sample data models to demonstrate design patterns for Amazon DynamoDB.
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