Google Professional Data Engineer (GCP-PDE) |

Course Highlights
Expertise in Data Engineering: Acquire the skills to design, build, and maintain data processing systems grounded in Google Cloud’s core concepts and principles.
Perform monitoring, troubleshooting, testing and CI/CD on Dataflow pipelines.
Deploy Dataflow pipelines with reliability in mind to maximize stability for your data processing platform.
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.
Demonstrate how Apache Beam and Cloud Dataflow work together to fulfil your organization’s data processing needs.
Summarize the benefits of the Beam Portability Framework and enable it for your Dataflow pipelines.
Select the right combination of IAM permissions for your Dataflow job.
Implement best practices for a secure data processing environment.
Understanding how Google Cloud data services fit into modern data workflows.
Advanced-Data Analysis and Visualization

These highlights encapsulate the essential areas of focus and learning outcomes in the Professional Data Engineer Certification course.