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

Distributing reports and dashboards

Within a Power BI workspace, we have datasets, reports, dashboards, and other artifacts that make up a Power BI app. When reports and dashboards (or even datasets) get created and you want to enable other users within your organization to use them and get value from what has been created, you'll want to package these together as a Power BI app to make it easy to use by others in your organization. Workspaces that are published as an app can be placed on the user's home screen, given a logo and description, as well as be targeted to specific users or groups of users. For example, if there are multiple teams from finance and marketing that build datasets, reports, and dashboards for their respective teams, these sets of artifacts are also probably important to the CEO and CFO, who would like to consume a subset of the reports and dashboards from these workspaces in a very tailored way.

Let's explore how we'd create a Power BI...