- SQL
- Extract, Transform, Load
- Data Transformation
- Data Pipelines
- Jupyter
- Google Cloud Platform
- Data Processing
- JSON
- Dataflow
- Real Time Data
Serverless Data Processing with Dataflow: Develop Pipelines
Completed by Jitsupa Romchampa
October 1, 2022
25 hours (approximately)
Jitsupa Romchampa's account is verified. Coursera certifies their successful completion of Serverless Data Processing with Dataflow: Develop Pipelines
What you will learn
Review the main Apache Beam concepts covered in the Data Engineering on Google Cloud course
Review core streaming concepts covered in DE (unbounded PCollections, windows, watermarks, and triggers)
Select & tune the I/O of your choice for your Dataflow pipeline
Use schemas to simplify your Beam code & improve the performance of your pipeline
Skills you will gain
