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Want to become a highly sought-after GCP Data Engineer in 2025? This video provides a clear roadmap, outlining the essential skills and tools you need to master on Google Cloud Platform (GCP). We'll break down key services for data ingestion, storage, processing, orchestration, and machine learning.** Topics Covered: What are the core responsibilities of a data engineer? Is there a difference between BigQuery and other Cloud Data Warehousing solultions? Why data flow is most suited for handling batch? What is Google Cloud solution for Batch and Streaming Pipelines? How does Data Fusion can be a secret weapon and how it is useful? What's a fully managed messaging system which can be integrated with Vertex AI? What's the best Cloud Composition setup on GCP? Why is Pubsub the tool that I need in my arsenal? How to build Machine Learning models and deploy them into GCP cloud? Check out the full "Roadmap to Become a Data Engineer in 2025" playlist: ✅ Full Playlist: • Roadmap to become a Data Engineer in 2025:... ✅ Previous Video: • OCI Data Engineer Roadmap 2025: Essential ... ✅ Next Video: • Data Engineer Roadmap 2025: Essential AI &... Don't forget to like, comment, and subscribe for more data engineering content! Connect with Us: Newsletter: http://notifyme.itversity.com LinkedIn: / itversity Facebook: / itversity Twitter: / itversity Instagram: / itversity Join this channel to get access to perks: / @itversity #GCP #DataEngineer #GoogleCloud #DataEngineering #BigData #ETL #CloudComputing #CareerAdvice