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Udemy - Dataform Zero to Hero - Master Enterprise-Level Analytics

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Udemy - Dataform Zero to Hero - Master Enterprise-Level Analytics (Size: 385.4 MB)
  1 -Assertions Row Count, Primary Key, Sanity Checks.mp4 16.9 MB
  1 -Connect BigQuery to Power BI.mp4 12.6 MB
  1 -Folder Structure & SQLX Types.mp4 26.8 MB
  1 -LECTURE 11.pdf 294.3 KB
  1 -LECTURE 21.pdf 346.1 KB
  1 -S1_L1.pdf 121.1 KB
  1 -Welcome to the Course.mp4 6.6 MB
  1 -Why Modular Analytics.mp4 18.1 MB
  1 -Wrap Up.mp4 8.3 MB
  2 - Connecting VS Code to BigQuery.html 307.2 B
  2 - Next Steps.html 1.3 KB
  2 - What You'll Learn (Course Roadmap).html 1.9 KB
  2 -Declaring Sources & Using ref().mp4 29.7 MB
  2 -Dev vs Prod Table Config.mp4 14.4 MB
  2 -LECTURE 12.pdf 76.7 KB
  2 -LECTURE 20.pdf 320.9 KB
  2 -Quick walkthrough of 4 chapters.mp4 8.4 MB
  2 -S1_L2.pdf 35.8 KB
  2 -S1_L3.pdf 688.2 KB
  2 -What Is Dataform & Why Use It.mp4 31.7 MB
  3 -Dataform Setup.mp4 20.7 MB
  3 -LECTURE 13.pdf 126 KB
  3 -Sales Funnel Report – Challenge Intro.mp4 8.9 MB
  4 -All Solutions Walkthrough.mp4 64.2 MB
  4 -GitHub for Analysts The Basics.mp4 21.2 MB
  5 -GitHub Branching Strategy (for Analytics Teams).mp4 17.8 MB
  5 -LECTURE 8.pdf 134.1 KB
  5 -Run & Execute.mp4 19.7 MB
  6 -Connecting Repos (GitHub + Dataform).mp4 27.9 MB
  6 -How to Use Variables using Javascript.mp4 10.1 MB
  7 -Exploring TheLook Dataset.mp4 17.6 MB
  7 -LECTURE 10.pdf 1.7 MB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 34 total files

Description


Dataform Zero to Hero: Master Enterprise-Level Analytics

https://WebToolTip.com

Published 7/2025
Created by LUMINOVA Tutorials
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 22 Lectures ( 1h 9m ) | Size: 386 MB

Build scalable, modular BigQuery pipelines with Dataform. Git-integrated, testable, production-ready workflows

What you'll learn
Build modular, enterprise-level data pipelines using Dataform and BigQuery
Design and manage scalable analytics workflows using version control and GitHub
Transform raw retail datasets into clean, report-ready tables and KPIs
Collaborate effectively on analytics projects using best practices from real-world use

Requirements
Basic SQL and Google Cloud Platform (GCP) familiarity is helpful, but not required. If you've used BigQuery or written SQL before, you're ready to dive in.