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

Design the data model to meet performance requirements

As mentioned previously, model performance is extremely important. A faster rendering report is a much more enjoyable experience for your consumers than one that takes minutes to show data. A report that refreshes faster places much less strain on source systems, thus making the owners of those systems much more likely to remove access to them.

Many of the preceding topics in this chapter, and in previous chapters, have dealt with this issue. Gathering and organizing your data and then correctly designing a data model on that data is what all the chapters up to this point have been about. By doing it all correctly, you will have fast data models that are simple and clear and concise to use, and easy to maintain.

One of the keys to modeling data in Power BI is creating the correct relationships between tables. As with many things in life, good relationships lead to good performance.

In larger models, removing the hidden...