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Power BI Machine Learning and OpenAI

You're reading from   Power BI Machine Learning and OpenAI Explore data through business intelligence, predictive analytics, and text generation

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781837636150
Length 308 pages
Edition 1st Edition
Languages
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Author (1):
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Greg Beaumont Greg Beaumont
Author Profile Icon Greg Beaumont
Greg Beaumont
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Data Exploration and Preparation
2. Chapter 1: Requirements, Data Modeling, and Planning FREE CHAPTER 3. Chapter 2: Preparing and Ingesting Data with Power Query 4. Chapter 3: Exploring Data Using Power BI and Creating a Semantic Model 5. Chapter 4: Model Data for Machine Learning in Power BI 6. Part 2: Artificial Intelligence and Machine Learning Visuals and Publishing to the Power BI Service
7. Chapter 5: Discovering Features Using Analytics and AI Visuals 8. Chapter 6: Discovering New Features Using R and Python Visuals 9. Chapter 7: Deploying Data Ingestion and Transformation Components to the Power BI Cloud Service 10. Part 3: Machine Learning in Power BI
11. Chapter 8: Building Machine Learning Models with Power BI 12. Chapter 9: Evaluating Trained and Tested ML Models 13. Chapter 10: Iterating Power BI ML models 14. Chapter 11: Applying Power BI ML Models 15. Part 4: Integrating OpenAI with Power BI
16. Chapter 12: Use Cases for OpenAI 17. Chapter 13: Using OpenAI and Azure OpenAI in Power BI Dataflows 18. Chapter 14: Project Review and Looking Forward 19. Index 20. Other Books You May Enjoy

Creating Power BI dataflows with connections to source data

The Power BI Desktop Power Query work from previous chapters is connected to data sources from your local machine. Power BI dataflows is a very similar tool to Power Query, but connectivity happens from the Power BI cloud service. When creating your dataflows, you will need to consider connectivity to the data sources. Earlier in this book, you determined that the sources of data for the FAA Wildlife Strike database were as follows:

  • wildlife.accdb: All of the historical FAA Wildlife Strike reports. This file is an Access database that’s been downloaded in ZIP file format from the FAA website.
  • read_me.xls: Descriptive information about the data in the Database.accdb database file. This file is an Excel file that was downloaded within the same ZIP file as the Access database. The file has been changed to a .xlsx extension in the Packt GitHub repository and is available in the folder at https://github.com/PacktPublishing...
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