Building Batch Pipelines in Cloud Data Fusion

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Building Batch Pipelines in Cloud Data Fusion

Coursera · Intermediate ·📰 AI News & Updates ·3mo ago
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

Related Reads

📰
AI Is Not the Enemy of Journalists, but a Test of Journalism’s Integrity
AI is transforming journalism, but its impact depends on the integrity of journalists, who must learn to work with AI tools while maintaining ethical standards
Medium · AI
📰
Apple Sends Letters to Dozens of Former Employees Now at OpenAI
Apple is taking aggressive legal action against former employees now at OpenAI, demanding document preservation and meetings with lawyers, in relation to a recent lawsuit
Daring Fireball
📰
At 50, AI Didn’t Just Change How I Work. It Gave Me a New Hobby With My Granddaughter.
Discover how AI can spark new hobbies and income streams, even at 50, by combining passions with cutting-edge technology
Medium · ChatGPT
📰
Canada’s ‘AI For All’ Fails to Define AI At All
Canada's 'AI For All' strategy lacks a clear definition of AI, which is crucial for its successful implementation and understanding
Medium · LLM
Up next
What is SaaS Explained with Examples
VLR Software Training
Watch →