Road to Professional Data Engineer_ Introduction and Exam Overview.pdf
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The document outlines the qualities and certification requirements for a professional data engineer, highlighting skills in collecting, transforming, and publishing data. It provides an overview of the certification exam, which assesses abilities in designing and operationalizing data processing systems, with details on format, fees, and recommended experience. Key exam topics include data processing system design, data ingestion, storage, analysis, and workload automation.
Road to Professional Data Engineer_ Introduction and Exam Overview.pdf
- 1. Road to Professional Data Engineer Introduction and Exam Overview
- 2. Agenda ● Qualities of a Professional Data Engineer ● Professional Data Engineer Certification Exam Overview ● Professional Data Engineer Exam Guide ● Recommended Experience and Prerequisites ● Exam Format, Fees, and Languages ● Resources
- 3. 01 02 03 04 Qualities of a Professional Data Engineer Collecting: Gathers data from various sources, ensuring its accuracy and completeness. Transforming: Cleans, processes, and structures data to make it usable for analysis. Publishing: Makes data accessible to others, enabling them to derive insights and make informed decisions. Adds Value: Transforms raw data into a valuable asset that drives business outcomes.
- 4. Professional Data Engineer Certification Exam Overview ● The Professional Data Engineer exam assesses your ability to design, build, and operationalize data processing systems. ● It covers designing data pipelines, ensuring solution quality, and building and operationalizing machine learning models. ● You should have hands-on experience with Google Cloud technologies for data engineering and machine learning. ● The exam is multiple choice and lasts 2 hours. ● You can take the exam in person at a testing center or online with remote proctoring.
- 5. Professional Data Engineer Exam Guide ● Designing data processing systems (~22% of the exam) ● Ingesting and processing the data (~25% of the exam) ● Storing the data (~20% of the exam) ● Preparing and using data for analysis (~15% of the exam) ● Maintaining and automating data workloads (~18% of the exam)
- 6. Recommended Experience and Prerequisites ● 3+ years of industry experience in data engineering ● Experience with Google Cloud products and services ● Strong programming skills in Python or Java ● Understanding of data structures and algorithms ● Familiarity with machine learning concepts and techniques
- 7. Exam Format, Fees, and Languages ● Multiple choice exam ● 2 hours long ● Registration fee: $200 (USD) ● Retake fee: $200 (USD) ● Languages: English, Japanese, Spanish
- 8. Resources Professional Data Engineer Certification Exam Guide | Learn | Google Cloud https://professional-data-engineer.streamlit.app/ https://www.cloudskillsboost.google/paths/16