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

Part 1: Data Exploration and Preparation

Your journey starts with the ingestion and preparation of data using Power BI. After discussing data modeling for business intelligence and machine learning, you will learn how to connect to data for the use case, clean it up and check for errors, explore the data to ensure referential integrity, and then create a relational data model.

This part has the following chapters:

Chapter 1, Requirements, Data Modeling, and Planning
Chapter 2, Preparing and Ingesting Data with Power Query
Chapter 3, Exploring Data Using Power BI and Creating a Semantic Model
Chapter 4, Model Data for Machine Learning in Power BI

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Power BI Machine Learning and OpenAI

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

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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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