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.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: ETL Basics
View skill →Related Reads
📰
📰
📰
📰
Future-Proof Skills That Will Stay Relevant After AI
Dev.to AI
Artificial Intelligence: How AI Is Changing Our Daily Lives
Medium · Machine Learning
Why CBAM Is Making Carbon Intelligence the New Business Currency
Medium · AI
Chinese AI Models Went From 2% to 45% of Global Developer Traffic in 12 Months.
Medium · AI
🎓
Tutor Explanation
DeepCamp AI