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

Summary

This chapter was all about creating the best data model for our reports. We covered a lot of ground and hit many topics, all of which might be in the exam.

The important takeaways are as follows.

Simpler is better. Simple models are easier to create reports on and usually result in faster rendering. That means your report consumers will be happier and you will receive fewer complaints from them!

The star schema pattern is a great tool. Star schemas usually lead to smaller, faster models, as Power BI is built to consume star schema-type models natively. Also, star schemas lead to good relationships. Which brings us to the next point.

It's all about good relationships. As you will find out in almost every chapter of this book going forward, relationships are the key to Power BI reporting. Good relationships lead to good, interactive reports. Good relationships lead to accurate slicing and dicing of data.

Use your own date table. Dates are extremely important...