What You Need to Know Before
You Start
Starts 4 June 2026 00:18
Ends 4 June 2026
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Days
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Hours
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Minutes
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Seconds
20 hours
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Overview
Study for Google Professional Data Engineer certification exam covering data pipelines, big data processing, GCP storage, analysis and machine learning tools.
Syllabus
- Designing data processing systems
- Ingesting and processing the data
- Storing the data
- Preparing and using data for analysis
- Schedule your Exam
- Upload Certification
<p>In this track of the Professional Data Engineer journey, the focus will be on what it takes to become a Google Cloud Data Engineer, navigating the Google Cloud platform, building data structures, and planning data pipelines.</p>
<p>In this track of the Professional Data Engineer journey, the focus will be on unstructured and structured data, data storage, and BigQuery data warehouse .</p>
<p>In this track of the Professional Data Engineer journey, the focus will be on using Google datastream, messaging , dataset processing, and exploring machine learning and AI with Google.</p>
<p>In this track of the Professional Data Engineer journey, the focus will be on optimizing, monitoring, and troubleshooting data warehouses, and you will also explore data migrations.</p>
After completing your studies, schedule your exam with the third-party provider.
After you receive notification that you’ve been certified, upload your certification to achieve completion.
Subjects
Data Science