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🏝 Clean up list of resources

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Mia Steinkirch 2019-10-27 15:20:05 -07:00
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@ -14,25 +14,27 @@ Three conceptual steps are how most data pipelines are designed and structured:
* **Load**: processed data is transported to a final destination.
---
## Learning References
### Courses and Lists
## Tutorials
* [Data science resources](https://github.com/davidyakobovitch/data_science_resources).
* [Lorte data pipelining](https://github.com/instacart/lore).
* [Incubator Airflow data pipelining](https://github.com/apache/incubator-airflow)
* [Udemy's Airflow for Beginners](https://www.udemy.com/airflow-basic-for-beginners/).
* [Awesome Airflow Resources](https://github.com/jghoman/awesome-apache-airflow).
* [Airflow in Kubernetes](https://github.com/rolanddb/airflow-on-kubernetes).
* [Astronomer: Airflow as a Service](https://github.com/astronomer/astronomer).
* [Data pipeline samples](https://github.com/aws-samples/data-pipeline-samples/tree/master/samples).
* [Awesome Scalability: a lot of articles and resources on the subject](https://github.com/binhnguyennus/awesome-scalability).
* [Awesome Scalability](https://github.com/binhnguyennus/awesome-scalability).
## MOOCs
* [Coursera's Big Data Pipeline course](https://www.coursera.org/lecture/big-data-integration-processing/big-data-processing-pipelines-c4Wyd).
* [Udemy's Airflow for Beginners](https://www.udemy.com/airflow-basic-for-beginners/).
## Talks
* [Industrial Machine Learning Talk](https://www.youtube.com/watch?v=3JYDT8lap5U).
#### Enterprise Solutions
## Enterprise Solutions
* [Netflix data pipeline](https://medium.com/netflix-techblog/evolution-of-the-netflix-data-pipeline-da246ca36905).
* [Netlix data videos](https://www.youtube.com/channel/UC00QATOrSH4K2uOljTnnaKw).