Introduction to dagster including a demonstration of software defined assets
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Updated
Apr 22, 2022 - Python
Introduction to dagster including a demonstration of software defined assets
Pipeline to scrape data from Linkedin using Airbyte and Airflow
An application to move data around
Demo data stack using Dagster + Airbyte + dbt
API client for programmatically controlling an Airbyte OSS instance
This repository contains the code of Airflow DAG, Snowflake Tasks and Snowflake Procedures
Dockerized Dagster Ingestion as Code. Manage Airbyte connections through Dagster.
A custom Airbyte connector to fetch football data from the Football-Data.org API. It allows users to retrieve match results, league tables, and player statistics for specific leagues, making it a versatile tool for football data analysis.
Airbridge: Configuration-Driven Airbyte Cloud Data Integration Pipelines
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