Google Professional-Data-Engineer日本語 : Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版)

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

The following will be discussed here:

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

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

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