This course is normally taken by data scientists, data analysts, and business analysts who are in the field of Google Сloud. It is a good way to prepare for your final exam because it teaches you all the details including 7 modules that cover all the Professional Data Engineer exam objectives:

• Machine Learning
• Compute and Storage Fundamentals
• Scaling Data Analytics
• Data Processing Architectures
• Data Analytics on the Cloud
• Additional Resources
• Introducing Google Cloud Platform ‘

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Google Professional Data Engineer Certified Professional salary

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

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

For more info visit:

Google-provided tutorials Community-provided tutorials Google-Data-Engineer-Practice-Test

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

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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:

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

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