Building Batch Pipelines in Cloud Data Fusion
Skills:
ETL Basics90%
Key Takeaways
Builds a batch pipeline in Cloud Data Fusion using Pipeline Studio and Wrangler plugin
Original Description
This is a self-paced lab that takes place in the Google Cloud console. This lab will teach you how to use the Pipeline Studio in Cloud Data Fusion to build an ETL pipeline. Pipeline Studio exposes the building blocks and built-in plugins for you to build your batch pipeline, one node at a time. You will also use the Wrangler plugin to build and apply transformations to your data that goes through the pipeline.
AI explanation not available for this lesson yet
This lesson is still being prepared for the AI tutor. In the meantime, explore lessons that are ready.
Browse explainer-ready lessons →
More on: ETL Basics
View skill →Related Reads
📰
📰
📰
📰
The AI Bubble Is Building Tomorrow’s Revenue With Today’s Debt. Here’s Where It Could Break.
Medium · AI
Me, Mai, or AI?
Medium · ChatGPT
AI Works. The Economics Do Not.
Medium · Data Science
Day 24: From AI Consumers to Sovereign Builders Shaping Africa’s Intelligence Infrastructure
Medium · Data Science
🎓
Tutor Explanation
DeepCamp AI