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

The following will be discussed here:

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

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

Google Professional Data Engineer Certified Professional salary

The average salary of a Google Professional Data Engineer Certified Expert in

• India - 25,42,327 INR
• United State - 151,247 USD
• England - 115,632 POUND
• Europe - 135,347 EURO

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