Preparing for Google Cloud Certification: Cloud Data Engr Professional Certificate
Preparing for Google Cloud Certification: Cloud Data Engr Professional Certificate
Advance your career in data engineering
Instructor: Google Cloud Training
Access provided by Marie Curie Alumni Association
106,286 already enrolled
from 4,921 reviews of courses in this program
Intermediate level
Recommended experience
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.
Employ BigQuery to carry out interactive data analysis.
Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.
Choose between different data processing products on Google Cloud.
Skills you'll gain
- Apache Hadoop
- Apache Kafka
- Apache Spark
- Big Data
- Cloud Storage
- Dashboard
- Data Architecture
- Data Governance
- Data Import/Export
- Data Infrastructure
- Data Lakes
- Data Pipelines
- Data Warehousing
- Dataflow
- Feature Engineering
- Google Cloud Platform
- Model Deployment
- PySpark
- Real Time Data
- Tensorflow
- Skills section collapsed. Showing 13 of 20 skills.
Details to know
Shareable certificate
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Taught in English
Recently updated!
October 2025
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Advance your career with in-demand skills
- Receive professional-level training from Google Cloud
- Demonstrate your technical proficiency
- Earn an employer-recognized certificate from Google Cloud
- Prepare for an industry certification exam
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