- Data Processing
- Real Time Data
- Data Transformation
- Dataflow
- JSON
- Data Pipelines
- Performance Tuning
- Jupyter
- SQL
- File I/O
Serverless Data Processing with Dataflow: Develop Pipelines
Completed by Dzianis Zyrtau
December 11, 2024
23 hours (approximately)
Dzianis Zyrtau'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
