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

Power BI dataflows

As data needs change, Power BI continues to adapt to those needs to help organizations understand and use their data to meet continuously changing market demands. Dataflows are a capability in Power BI that empowers Power BI users to perform self-service data preparation, which is sometimes a necessary component of the end-to-end reporting and analytics solution.

Figure 2.3 – Visual representation of how Power BI dataflows work with other Power BI assets and content

Like other data transformation tools, Power BI dataflows connect to disparate data sources and then perform a transformation on the data before it gets used as a Power BI dataset. This is useful when an organization wants to prevent report developers from needing to access the underlying data sources directly (potentially for security or performance reasons). Dataflows also enable the capability of optimizing data transformation that might always need to take place in order...