Google Professional Data Engineer

Übersicht

Study for Google Professional Data Engineer certification exam covering data pipelines, big data processing, GCP storage, analysis and machine learning tools.

Lehrplan

• Designing data processing systems
<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>
• Ingesting and processing the data
<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>
• Storing the data
<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>
• Preparing and using data for analysis
<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>
• Schedule your Exam
After completing your studies, schedule your exam with the third-party provider.
• Upload Certification
After you receive notification that you’ve been certified, upload your certification to achieve completion.

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Fachgebiete

Data Science