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

In this chapter, we looked at a number of topics related to connecting to and querying data with Power BI. We reviewed some of the popular data sources that are supported by Power BI and how queries to those data sources can be DirectQuery or Import, and how those sources can even be located on-premises. It's very important that Power BI supports as many data sources as possible so organizations can spend more time querying data and using it to answer business questions and less time moving data to a supported data store.

We also learned how Power BI supports the creation of composite data models that use both DirectQuery and Import data. Composite models help enable many new use cases, including performance optimization in some scenarios. We learned how Power BI uses the concept of a dataset to store connection information to a data source and how that connection information can be shared using a PBIDS file that can be shared across an organization to help make getting...