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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
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Author (1)
Greg Beaumont
Greg Beaumont
author image
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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Building a Power BI dataset

You review the preliminary data model design from your earlier efforts, and note that you have approached a fork for which the relational analytic data that will populate the Power BI dataset will likely have differences from the flattened data used for ML in Power BI:

Figure 3.13 – You will now populate Power Query queries for the Power BI dataset

Figure 3.13 – You will now populate Power Query queries for the Power BI dataset

In order to keep your work both organized and optimized for future changes, you decide to create a new group in Power Query that will contain the tables for the Power BI dataset. You take note that when working with extremely large data volumes or a complex data model, avoiding complexity within Power Query is often a best practice. However, with your data volumes, complexity, and overall use case, it makes sense to have separate groups for different segments of the project:

  1. Create a new group within Queries called Curated Dataset Tables.
  2. Right-click each of the...
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Power BI Machine Learning and OpenAI
Published in: May 2023Publisher: PacktISBN-13: 9781837636150
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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