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

Chapter 8: Optimizing Model Performance

The data model is a key component of any Power BI solution. Data models require data structures to be imported and relationships set up so that business questions can be answered using the data contained in the model. Often, data sizes grow, and performance can become a challenge when this happens. Optimizing the data model for performance becomes a necessary exercise to ensure expectations for performance can still be met.

Optimizing data model performance is a component of the PL-300 exam and is also important to consider when using Power BI in a production environment. Additionally, it's important to optimize Power BI data models for performance in order to ensure users have the best experience with the solution. Having a performant data model will ensure you are able to answer questions in an efficient manner that leads to positive outcomes for the organization.

In this chapter, we're going to cover the following topics:

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