workshop-realtime-data-pipelines
Udacity-Data-Engineering-Projects
| workshop-realtime-data-pipelines | Udacity-Data-Engineering-Projects | |
|---|---|---|
| 1 | 5 | |
| 3 | 1,295 | |
| - | - | |
| 2.3 | 0.0 | |
| 10 months ago | over 1 year ago | |
| Python | Python | |
| - | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
workshop-realtime-data-pipelines
Udacity-Data-Engineering-Projects
- Pitanje za data engineering?
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✨ 5 Free Resources to Learn Data Engineering 🚀
🔗 https://github.com/san089/Udacity-Data-Engineering-Projects
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How can I become a big data engineer?
You can start with googling data engineering learning path to get a sense of what you need to know. If you are looking for simple projects to start with then you can look at this as well (https://github.com/san089/Udacity-Data-Engineering-Projects).
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Beginner DE projects.
For practice, Data Modeling with Postgres and Udacity Data Engineering Projects as examples, and Data Engineering Project for Beginners - Batch edition for a guided tutorial.
- Data Pipeline Examples in Action
What are some alternatives?
pyspark-example-project - Implementing best practices for PySpark ETL jobs and applications.
hydra - Hydra: Column-oriented Postgres. Add scalable analytics to your project in minutes.
numWorkshop - A python wrapper for the numworks workshop.
data-engineering-zoomcamp - Free Data Engineering course!
prism - Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
data-engineering-book - Accumulated knowledge and experience in the field of Data Engineering
Spooq
ask-astro - An end-to-end LLM reference implementation providing a Q&A interface for Airflow and Astronomer
patterns-devkit - Data pipelines from re-usable components
pg-counter-metrics - PG Counter Metrics ( PGCM ) is a tool for publishing PostgreSQL performance data to CloudWatch. By publishing to CloudWatch, dashboards and alarming can be used on the collected data.
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
canarypy - CanaryPy - A light and powerful canary release for Data Pipelines