(gcp-Pde) Maintaining And Automating Data Workloads
 

Organizations often struggle to keep data workloads running reliably and cost-effectively as pipelines grow in complexity, scale, and business importance.
Organizations often struggle to keep data workloads running reliably and cost-effectively as pipelines grow in complexity, scale, and business importance. In this course, (GCP-PDE) Maintaining and Automating Data Workloads, you'll gain the ability to automate, optimize, and monitor data pipelines so they perform consistently under real-world conditions. First, you'll explore how to optimize storage and compute costs while ensuring that critical workloads always have the resources they need. Next, you'll discover how to design repeatable, automated workflows using Cloud Composer and scheduling strategies that keep pipelines running smoothly. Finally, you'll learn how to manage workloads, monitor system health, troubleshoot failures, and build fault-tolerant architectures that gracefully handle outages and data issues. When you're finished with this course, you'll have the skills and knowledge of data workload management needed to maintain efficient, reliable, and production-ready pipelines on Google Cloud and tackle this topic on the Professional Data Engineer certification.
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