You're reading from Power BI Machine Learning and OpenAI

Product typeBook

Published inMay 2023

Reading LevelIntermediate

PublisherPackt

ISBN-139781837636150

Edition1st Edition

Languages

Python

Tools

Power BI

Concepts

GPT/LLMs

Author (1)

Greg Beaumont

Summary

In this chapter, you created queries coming from the FAA Wildlife Strike data, which will be used as the basis for both Power BI datasets and ML training datasets. Throughout the chapter, you removed unnecessary columns, cleaned up the column names, and formatted the queries so that they can be used as tables of data.

In the next chapter, you will explore the data in these queries and create a semantic model in a Power BI dataset, which relates all of the data together for the purpose of creating a Power BI report – this will kickstart analytics on the FAA Wildlife Strike data.

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Power BI Machine Learning and OpenAI

Published in: May 2023Publisher: PacktISBN-13: 9781837636150

Author (1)

Greg Beaumont

Greg Beaumont is a data architect at Microsoft, where he enjoys identifying and solving complex problems backed by his experience in data architecture and a passion for innovation. Focusing on the healthcare industry, Greg works closely with customers to plan enterprise analytics strategies, evaluate new tools and products, conduct training sessions and hackathons, and architect solutions that improve the quality of care and reduce costs. He strives to be a trusted advisor to his customers and is always seeking new ways to drive progress and help organizations thrive. He is a veteran of the Microsoft data speaker network and has worked with hundreds of customers on their data management and analytics strategies.
Read more about Greg Beaumont

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