PluralSight – (GCP-PDE) Designing Data Processing Systems 2026
English | Tutorial | Size: 476.83 MB
Data Processing Systems are essential to the Professional Data Engineer certification and key to designing enterprise-grade data platforms. This course will teach you to build secure, compliant, reliable, and portable real-world data architectures.
What you’ll learn
Modern data engineers are expected to design platforms that are secure, compliant, reliable, and adaptable to changing business and regulatory requirements-skills that lie at the heart of the Professional Data Engineer certification. In this course, (GCP-PDE) Designing Data Processing Systems, you’ll gain the ability to architect end-to-end data systems that meet enterprise standards and operate smoothly across environments. First, you’ll explore how to design for security and compliance using IAM, encryption, data governance, and sensitive-data protection. Next, you’ll discover how to ensure reliability and fidelity by building and orchestrating robust data pipelines, enforcing ACID properties, and validating data quality. Finally, you’ll learn how to design for flexibility, portability, and smooth data migrations, including multi-cloud patterns, data residency planning, and disaster-recovery strategies. When you’re finished with this course, you’ll have the skills and knowledge of Google Cloud data architecture needed to build secure, dependable, and future-ready data platforms that align with the expectations of the Professional Data Engineer role.
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