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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
- Data cleansing
- Storage costs and performance
- Testing and quality control
- Monitoring pipelines
- Batch and streaming
- Awareness of current state and how to migrate a design to a future state
- Lifecycle management of data
- Validating a migration
- Effective use of managed services (Cloud Bigtable, Cloud Spanner, Cloud SQL, BigQuery, Cloud Storage, Cloud Datastore, Cloud Memorystore)
- Integrating with new data sources
- Building and operationalizing processing infrastructure
- Migrating from on-premises to cloud (Data Transfer Service, Transfer Appliance, Cloud Networking)
- Building and operationalizing storage systems
- Provisioning resources
- Transformation
- Data acquisition and import
- Building and operationalizing pipelines
Reference: https://cloud.google.com/certification/data-engineer
Building & Operationalizing Data Processing Systems
Within this subject area, the test takers should show that they know how to build and operationalize storage systems. Specifically, they need to be conversant with effective use of managed services (such as Cloud Bigtable, Cloud SQL, Cloud Spanner, BigQuery, Cloud Storage, Cloud Memorystore, Cloud Datastore), storage costs & performance, and lifecycle management of data. The students should also be capable of building as well as operationalizing pipelines, including such technical tasks as data cleansing, transformation, batch & streaming, data acquisition & import, and integrating with new data sources. Apart from that, the candidates need to have sufficient competency to build and operationalize the processing infrastructure. This includes a good comprehension of provisioning resources, adjusting pipelines, monitoring pipelines, as well as testing & quality control.
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Training Courses Recommended for the Exam Preparation
Training courses are meant to help candidates to learn about the Google exam syllabus and prepare well. It has hands-on labs and expert support that will allow you to get in-depth knowledge of each domain covered in the test. So, these are some of the best training courses offered by Google for the Professional Data Engineer certification exam.
Google Professional Data Engineer Certified Professional salary
The average salary of a Google Professional Data Engineer Certified Expert in
- United State - 151,247 USD
- England - 115,632 POUND
- Europe - 135,347 EURO
- India - 25,42,327 INR
