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 service

Analytics Hub

Topic in 2 exam domains

X LinkedIn Facebook Reddit

Also called: Sharing (Analytics Hub)

A Google Cloud service used to manage data exchanges and data listings.

Where this appears on the exam

2 subdomains in 2 of 5 domains

Domain 3
Storing the data
~20% of exam
1. 3.2Planning for using a data warehouse
  - Defining architecture to support data access patterns
Domain 4
Preparing and using data for analysis
~15% of exam
1. 4.3Sharing data
  - Publishing datasets

How learners score on this topic

Last updated October 24, 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 service

Analytics Hub

Topic in 2 exam domains

X LinkedIn Facebook Reddit

Also called: Sharing (Analytics Hub)

A Google Cloud service used to manage data exchanges and data listings.

Where this appears on the exam

2 subdomains in 2 of 5 domains

Domain 3
Storing the data
~20% of exam
1. 3.2Planning for using a data warehouse
  - Defining architecture to support data access patterns
Domain 4
Preparing and using data for analysis
~15% of exam
1. 4.3Sharing data
  - Publishing datasets

How learners score on this topic

Last updated October 24, 2026

Where this appears on the exam

Related topics

How learners score on this topic

Where this appears on the exam

Related topics

How learners score on this topic