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

Flatten out a parent-child hierarchy

Where possible, you should strive for simpler models. When your report builders see fewer tables, they will be able to use the model more effectively. The simpler the model, the fewer problems you will have with it. We are not saying leave out important data, but we are saying, again, if it's not necessary, don't include it.

The most common way to do this is by using a star schema.

Star schema

A star schema organizes your data into fact and dimension tables. You can use dimension tables to filter the fact table. Dimension tables contain information that is repeated over and over again, for example, in the Sales table. If you think of a product dimension, it can hold all the information about a product, such as the name, color, SKU, size, and weight. Instead of repeating that information over and over, you can represent the product by an SKU number or even an integer in the Sales table. You can then filter the Sales table by selecting...