| 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 | |||
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.
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