Professional Data Engineer

Build and operate the data processing systems behind analytics and ML on Google Cloud, including BigQuery, Dataflow, and Pub/Sub, and track your readiness for the Professional Data Engineer exam.

Advanced

Prepare and test your skills

Advanced

Prepare and test your skills

Google Cloud feature

materialized views

Topic in 7 exam domains

materialized views · Feature · BigQuery feature
materialized views · Concept · BigQuery

Also called: BigQuery materialized views

Precomputed views that store query results, distinct from BigQuery's default logical views.

Where this appears on the exam

4 objectives in 3 of 5 domains

Domain 1
Designing data processing systems
~22% of exam
1. 1.4Designing data migrations
  - Analyzing current stakeholder needs, users, processes, and technologies, and creating a plan to get to desired state
Domain 3
Storing the data
~20% of exam
1. 3.1Selecting storage systems
  - Analyzing data access patterns
Domain 4
Preparing and using data for analysis
~15% of exam
1. 4.1Preparing data for visualization
  - Precalculating fields
  - BigQuery features for business intelligence (e.g., BI Engine, materialized views)

How learners score on this topic

Last updated October 15, 2026

Professional Data Engineer

Build and operate the data processing systems behind analytics and ML on Google Cloud, including BigQuery, Dataflow, and Pub/Sub, and track your readiness for the Professional Data Engineer exam.

Advanced

Prepare and test your skills

Advanced

Prepare and test your skills

Google Cloud feature

materialized views

Topic in 7 exam domains

materialized views · Feature · BigQuery feature
materialized views · Concept · BigQuery

Also called: BigQuery materialized views

Precomputed views that store query results, distinct from BigQuery's default logical views.

Where this appears on the exam

4 objectives in 3 of 5 domains

Domain 1
Designing data processing systems
~22% of exam
1. 1.4Designing data migrations
  - Analyzing current stakeholder needs, users, processes, and technologies, and creating a plan to get to desired state
Domain 3
Storing the data
~20% of exam
1. 3.1Selecting storage systems
  - Analyzing data access patterns
Domain 4
Preparing and using data for analysis
~15% of exam
1. 4.1Preparing data for visualization
  - Precalculating fields
  - BigQuery features for business intelligence (e.g., BI Engine, materialized views)

How learners score on this topic

Last updated October 15, 2026

Where this appears on the exam

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How learners score on this topic

Where this appears on the exam

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How learners score on this topic