Pass the Google Cloud Professional Data Engineer exam with expert-designed practice tests & real-world questions.
Sub Category
- IT Certifications
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Objectives
- Master Google Cloud’s data engineering concepts and best practices.
- Design secure, scalable, and cost-efficient data architectures.
- Build and optimize data pipelines using Dataflow, Dataproc, and BigQuery.
- Implement data security and compliance with IAM and encryption.
- Design disaster recovery, fault tolerance, and data validation strategies.
- Understand ACID compliance, data availability, and consistency models.
- Migrate data to Google Cloud using Transfer Service and Datastream.
- Optimize query performance and manage BigQuery workloads efficiently.
- Implement data governance, cataloging, and sharing strategies.
- Monitor and troubleshoot Google Cloud data pipelines effectively.
Pre Requisites
- Understanding of Google Cloud Platform (GCP) services
- Understanding of SQL and database concepts
- Understanding of ETL processes and data pipelines.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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