Automated Testing For Protecting Data Pipelines from Undocumented Assumptions
![](https://i.ytimg.com/vi/nNrIf-P58WY/mqdefault.jpg)
32:33
Enabling Scalable Data Science Pipeline with Mlflow at Thermo Fisher Scientific
![](https://i.ytimg.com/vi/osfptVFZWDA/mqdefault.jpg)
24:53
Managing Millions of Tests Using Databricks
![](https://i.ytimg.com/vi/BkhwK4iAdmc/mqdefault.jpg)
26:42
Scale and Optimize Data Engineering Pipelines with Best Practices: Modularity and Automated Testing
![](https://i.ytimg.com/vi/uzVewG8M6r0/mqdefault.jpg)
35:13
Learn to Efficiently Test ETL Pipelines
![](https://i.ytimg.com/vi/TbWcCyP2MgE/mqdefault.jpg)
18:57
Best Practices for Unit Testing PySpark
![](https://i.ytimg.com/vi/-3sjLjK81so/mqdefault.jpg)
57:49
Datadog on Data Engineering Pipelines: Apache Spark at Scale
![](https://i.ytimg.com/vi/6kEGUCrBEU0/mqdefault.jpg)
8:29
Data Pipelines Explained
![](https://i.ytimg.com/vi/3ePsZSef6-Q/mqdefault.jpg)
56:56