[GCP] Data Engineer Notes - Dataflow

Hello, everyone. It's Gaby again.

Here with my summary of some important points on Dataflow:

Reference Sources

1. Dataflow Documentations at Google Cloud https://cloud.google.com/dataflow/docs/resources

2. Data Engineering with Google Cloud Professional Certificate at Coursera https://www.coursera.org/professional-certificates/gcp-data-engineering?

3. Data Engineer Certification Exam Guide at Google Cloud https://cloud.google.com/certification/guides/data-engineer

4. Guide to Common Cloud Dataflow Use-case Patterns at Google Cloud https://cloud.google.com/blog/products/data-analytics/guide-to-common-cloud-dataflow-use-case-patterns-part-1

5. Programming model for Apache Beam at Google Cloud https://cloud.google.com/dataflow/docs/concepts/beam-programming-model

6. Apache Beam Programming Guide at Apache Beam https://beam.apache.org/documentation/programming-guide/

7. Troubleshooting and Debugging at Google Cloud https://cloud.google.com/dataflow/docs/guides/troubleshooting-your-pipeline

8. Dataflow Access Control at Google Cloud https://cloud.google.com/dataflow/docs/concepts/access-control

9. Google Cloud Professional Data Engineer Practice Test at Udemy https://www.udemy.com/course/google-cloud-professional-data-engineer/

10. Google Professional Data Engineer (GCP) Practice Exam at TestPrep https://www.testpreptraining.com/certified-professional-data-engineer-practice-exam

Message or email me if you have any further questions. I will be happy to share my experience with you!