Book Image

Microsoft Power BI Data Analyst Certification Guide

By : Orrin Edenfield, Edward Corcoran
5 (1)
Book Image

Microsoft Power BI Data Analyst Certification Guide

5 (1)
By: Orrin Edenfield, Edward Corcoran

Overview of this book

Microsoft Power BI enables organizations to create a data-driven culture with business intelligence for all. This guide to achieving the Microsoft Power BI Data Analyst Associate certification will help you take control of your organization's data and pass the exam with confidence. From getting started with Power BI to connecting to data sources, including files, databases, cloud services, and SaaS providers, to using Power BI’s built-in tools to build data models and produce visualizations, this book will walk you through everything from setup to preparing for the certification exam. Throughout the chapters, you'll get detailed explanations and learn how to analyze your data, prepare it for consumption by business users, and maintain an enterprise environment in a secure and efficient way. By the end of this book, you'll be able to create and maintain robust reports and dashboards, enabling you to manage a data-driven enterprise, and be ready to take the PL-300 exam with confidence.
Table of Contents (25 chapters)
1
Part 1 – Preparing the Data
6
Part 2 – Modeling the Data
11
Part 3 – Visualizing the Data
15
Part 4 – Analyzing the Data
18
Part 5 – Deploying and Maintaining Deliverables
21
Part 6 – Practice Exams

Replacing numeric calculated columns with measures

Calculated columns and measures are different in the way they are stored and calculated within Power BI. When calculated columns are added to a data model, the values are calculated and stored for every row. This means that if there are 1,000 rows in a table and you add a calculated column for Margin (using a formula taking sales minus production costs), then for each row of the table, the data model would store a value for Margin. This data would be stored and updated whenever the model was refreshed so there are storage and performance implications when using many calculated columns.

Measures are not stored but instead calculated when used on the fly. Instead of creating a calculated column for Margin, you could instead create a measure that performs the same calculation, but the value would not be stored in the data model but instead be computed when the measure is used in a report visual.

For Power BI to use a measure to...