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Welcome to the Google Cloud Professional Data Engineer Certification Preparation Series, a complete learning path designed to help you master data engineering concepts and prepare confidently for the Google Cloud certification exam. This covers how to design, build, operationalize, secure, and monitor data processing systems on Google Cloud, using real-world enterprise data scenarios. In this series, you will learn: Data engineering fundamentals and GCP data architecture design Building batch and streaming data pipelines Data ingestion and transformation using GCP services Working with BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage Designing scalable and cost-efficient data solutions Data security, governance, and compliance practices Monitoring, optimization, and operational best practices Certification-focused concepts and practical exam preparation guidance This playlist is ideal for: Data engineers and analytics professionals Cloud architects and developers IT professionals moving into data engineering Anyone preparing for the Professional Data Engineer certification Each lecture simplifies complex topics and connects them to practical, real-world implementations to help you succeed in both certification and enterprise data projects. Follow this playlist step-by-step to build strong expertise in data engineering on Google Cloud and accelerate your cloud career. 🚀