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AI-Driven Data Modeling Using ChatGPT and Copilot
AI-Driven Data Modeling Using ChatGPT and Copilot

AI-Driven Data Modeling Using ChatGPT and Copilot: Harness AI Tools for Powerful Data Modeling and Streamlined ETL Processes

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Profile Icon Dr. Florian Detzel
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$109.99
Video Jan 2026 14hrs 43mins 1st Edition
Video
$109.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Dr. Florian Detzel
Arrow right icon
$109.99
Video Jan 2026 14hrs 43mins 1st Edition
Video
$109.99
Subscription
Free Trial
Renews at $19.99p/m
Video
$109.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • Comprehensive guide to AI-driven data modeling with ChatGPT and Copilot
  • Mastering the streamlining of data modeling, ETL processes, and business intelligence
  • Practical case studies, demos, and hands-on exercises using modern tools

Description

This course combines AI-driven data modeling with fundamental data modeling concepts. You’ll start by understanding key principles such as conceptual, logical, and physical models, followed by dimensional modeling, additivity in facts, and conformed dimensions. These concepts are applied in Power BI for data visualization and analysis. Next, you’ll explore advanced techniques like Slowly Changing Dimensions (SCDs), normalized modeling, and star schemas. Hands-on exercises will help you build skills in MySQL setup, case studies, and creating data models with tools like dbdiagram.io and draw.io. You’ll also learn about data architectures such as data lakes and data warehouses. In the final project, you’ll apply your learning to a real-world case, from data modeling and ETL pipeline creation to Power BI integration. Using AI tools like ChatGPT and GitHub Copilot, you’ll enhance your workflow by automating tasks like schema documentation, fact and dimension identification, and data quality checks. By the end, you'll be equipped to tackle complex data modeling challenges with AI tools.

Who is this book for?

This course is ideal for data analysts, data engineers, business intelligence professionals, and anyone interested in AI-driven data modeling. A basic understanding of data structures and databases is helpful but not required. Whether you're looking to enhance your skills or integrate AI tools into your workflow, this course will provide valuable insights and hands-on experience.

What you will learn

  • Grasp core principles of data modeling and dimensional modeling
  • Leverage AI tools like GitHub Copilot and ChatGPT in data modeling
  • Identify and document facts, dimensions, and ETL processes with AI
  • Master SCDs and advanced data modeling techniques
  • Create efficient ETL pipelines and integrate with Power BI
  • Apply AI-driven techniques to enhance data quality and testing

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Feb 06, 2026
Publication date : Jan 20, 2026
Length: 14hrs 43mins
Edition : 1st
Language : English
ISBN-13 : 9781807308377
Category :
Tools :

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
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Product Details

Last updated date : Feb 06, 2026
Publication date : Jan 20, 2026
Length: 14hrs 43mins
Edition : 1st
Language : English
ISBN-13 : 9781807308377
Category :
Tools :

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Table of Contents

9 Chapters
Introduction Chevron down icon Chevron up icon
Data Modeling Fundamentals and Foundations Chevron down icon Chevron up icon
Data Modeling Exercise Chevron down icon Chevron up icon
Data Architecture Essentials Chevron down icon Chevron up icon
Extract Transform Load (ETL), ELT, and OLAP & OLTP Chevron down icon Chevron up icon
ETL and Data Architecture Exercise in Apache Hop Chevron down icon Chevron up icon
Capstone Project – From Requirements to Data Model, to ETL to Power BI Chevron down icon Chevron up icon
Data Modeling with Artificial Intelligence (AI), Copilot and ChatGPT Chevron down icon Chevron up icon
Conclusion Chevron down icon Chevron up icon
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