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Requirements

The certification does not have any official prerequisites. However, it is advised to have at least three years of industry experience with one or more years of expertise in designing and managing different solutions with the use of Google Cloud Platform. It is also required to review the topics of the qualifying exam before sitting for it.

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Understanding functional and technical aspects of Google Professional Data Engineer Exam Building and operationalizing data processing systems

The following will be discussed here:

• Testing and quality control
• Transformation
• Integrating with new data sources
• Building and operationalizing processing infrastructure
• Building and operationalizing storage systems
• Building and operationalizing pipelines
• Data acquisition and import
• Batch and streaming
• Awareness of current state and how to migrate a design to a future state
• Lifecycle management of data
• Adjusting pipelines
• Provisioning resources
• Validating a migration
• Migrating from on-premises to cloud (Data Transfer Service, Transfer Appliance, Cloud Networking)
• Data cleansing
• Monitoring pipelines
• Building and operationalizing data processing systems
• Storage costs and performance
• Effective use of managed services (Cloud Bigtable, Cloud Spanner, Cloud SQL, BigQuery, Cloud Storage, Cloud Datastore, Cloud Memorystore)

Reference: https://cloud.google.com/certification/data-engineer

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Google Professional-Data-Engineer Exam Syllabus Topics: