Udemy – Google Dataflow with Apache Beam – Beginner to Pro course

Whether you’re a data engineer, cloud enthusiast, or aspiring GCP professional, this course will take you from zero to advanced level, through hands-on labs, real-world case studies, and practical assignments.

What You’ll Learn

• Understand the fundamentals of Google Cloud Dataflow and how it fits in the data engineering ecosystem
• Explore the Apache Beam framework – the programming model behind Dataflow
  • Learn core concepts like PCollections and PTransforms
• Differentiate Dataflow vs Dataproc and when to use each
• Set up your own Cloud Workbench environment for hands-on practice
• Build real-world ETL pipelines (Extract, Transform, Load) using Apache Beam
• Use Google Pub/Sub for real-time data ingestion and understand its architecture
• Develop pipelines using both:
  • Template-based method
    • Case Study 1: Template-driven pipeline
  • Custom code approach
    • Case Study 2: end to end Batch pipeline
    • Case Study 3: end to end Streaming pipeline
• Complete hands-on assignments to reinforce learning and prepare for real-world scenarios

Hands-On Labs Include:

• Beam Basics with Python/Java SDK
• ETL development on Dataflow
• Streaming pipeline using Pub/Sub
• Batch pipeline using Cloud Storage
• Debugging, monitoring, and optimizing pipeline performance
• end to end pipeline creations from scratch

Who this course is for:

• Beginner to Learn and Master Google Dataflow and Apache beam
• Aspiring Data Engineers and GCP enthusiasts

DOWNLOAD LINK: Google Dataflow with Apache Beam – Beginner to Pro course

Google_Dataflow_with_Apache_Beam_Beginner_to_Pro_course.part1.rar – 1000.0 MB
Google_Dataflow_with_Apache_Beam_Beginner_to_Pro_course.part2.rar – 838.6 MB

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