Master the design, development, and operationalization of scalable data pipelines on Google Cloud and prepare to earn the Google Certified Professional Data Engineer credential.
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This course prepares professionals to pass the Google Cloud Professional Data Engineer certification by equipping them with the skills to design, build, operationalize, secure, and monitor data processing systems. The focus is on using Google Cloud Platform (GCP) tools like BigQuery, Dataflow, Pub/Sub, Dataproc, and Bigtable to enable data-driven decision-making and scalable analytics solutions.
Exam Format
Exam Code: Professional Data Engineer
Duration: 2 hours
Question Types:
Passing Score: 70%
Certification Course Outline
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