Professional Data Engineer by Google
10.000,00 SAR
This certification course covers key areas such as building and operationalizing data pipelines, working with big data technologies, and implementing machine learning models. Participants will gain hands-on experience with GCP’s data engineering tools, including BigQuery, Cloud Pub/Sub, and Dataflow, to process and analyze large datasets, optimize performance, and ensure security and compliance.
About the Course:
The Professional Data Engineer certification prepares learners to design, build, and maintain scalable, secure, and efficient data architectures using Google Cloud Platform (GCP). The course focuses on data management, processing, and machine learning techniques, enabling professionals to manage large data sets, design data systems, and implement advanced analytics solutions.
What will you learn:
- Design and implement data processing systems and architectures.
- Manage large-scale data storage and analytics solutions on GCP.
- Build and operationalize machine learning models in the cloud.
- Implement real-time and batch data processing pipelines.
- Ensure data security, privacy, and compliance in cloud environments.
- Optimize data systems for cost, performance, and scalability.
Certification Objectives:
- Design scalable and efficient data architectures on GCP.
- Implement data pipelines and workflows for both batch and real-time processing.
- Build and deploy machine learning models using GCP services.
- Ensure secure data management practices in cloud environments.
- Optimize the cost and performance of data engineering solutions.
- Use GCP tools for advanced analytics, storage, and reporting.
Awarding Body:
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