Pass the GCP Professional Data Engineer Exam! Master BigQuery, Dataflow, Dataproc & Pipelines.
InstructorMaruchin TechThe structure follows a standard data engineering lifecycle, moving from collection and ingestion through to processing, storage, and final analysis.
Specific modules provide guided walkthroughs for essential services including Pub/Sub, Dataflow, Cloud Storage, and BigQuery.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
A structured diagram titled Overview of Professional Data Engineer mapping five pipeline stages to specific Google Cloud services.
A screenshot of the Cloud Data Fusion pipeline interface displaying a visual workflow with connected nodes for data processing and querying.
A presentation slide titled Cloud Dataflow displays a diagram of a data pipeline with a source, four data windows, and a target sink.
A digital title card featuring a Google Cloud certification badge on a green chip graphic, with the course title displayed in white text.
The assessment phase relies on two topical practice tests rather than diverse project-based evaluations.
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