canarypy
youtube_data_analysis
canarypy | youtube_data_analysis | |
---|---|---|
2 | 1 | |
3 | 16 | |
- | - | |
7.3 | 0.0 | |
10 months ago | over 1 year ago | |
Python | Python | |
MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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canarypy
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Ask HN: Open-Source Canary Release Tool – Seeking Your Feedback
I'm excited to introduce CanaryPy, a new open-source tool to make your data pipelines more robust by introducing new releases of your data pipelines minimising the impact of unanticipated issues. It has a plugin for Apache Airflow for now but more to come.
We'd love for you to check it out on GitHub: https://github.com/thcidale0808/canarypy
Your feedback and suggestions for improvement are precious to us. What features would you like to see? How's the usability? Would you have any thoughts on integration with your current tools?
Thank you in advance for your insights!
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Introducing Canary Release Tool to integrate with Apache Airflow - Seeking Your Feedback!
We'd love for you to check it out on GitHub: https://github.com/thcidale0808/canarypy
youtube_data_analysis
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Data pipeline project for beginners
Link: https://github.com/Nupurgopali/youtube_data_analysis
What are some alternatives?
dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD
weather_data_pipeline - This is a PySpark-based data pipeline that fetches weather data for a few cities, performs some basic processing and transformation on the data, and then writes the processed data to a Google Cloud Storage bucket and a BigQuery table.The data is then viewed in a looker dashboard
Udacity-Data-Engineering-Projects - Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
pyStudio - The easier way to do machine learning in Python without coding!
prefect-deployment-patterns - Code examples showing flow deployment to various types of infrastructure
dagster - An orchestration platform for the development, production, and observation of data assets.
Prefect - The easiest way to build, run, and monitor data pipelines at scale.