Book Image

Microsoft Certified Azure Data Fundamentals (Exam DP-900) Certification Guide

By : Marcelo Leite
5 (1)
Book Image

Microsoft Certified Azure Data Fundamentals (Exam DP-900) Certification Guide

5 (1)
By: Marcelo Leite

Overview of this book

Passing the DP-900 Microsoft Azure Data Fundamentals exam opens the door to a myriad of opportunities for working with data services in the cloud. But it is not an easy exam and you'll need a guide to set you up for success and prepare you for a career in Microsoft Azure. Absolutely everything you need to pass the DP-900 exam is covered in this concise handbook. After an introductory chapter covering the core terms and concepts, you'll go through the various roles related to working with data in the cloud and learn the similarities and differences between relational and non-relational databases. This foundational knowledge is crucial, as you'll learn how to provision and deploy Azure's relational and non-relational services in detail later in the book. You'll also gain an understanding of how to glean insights with data analytics at both small and large scales, and how to visualize your insights with Power BI. Once you reach the end of the book, you'll be able to test your knowledge with practice tests with detailed explanations of the correct answers. By the end of this book, you will be armed with the knowledge and confidence to not only pass the DP-900 exam but also have a solid foundation from which to embark on a career in Azure data services.
Table of Contents (21 chapters)
1
Part 1: Core Data Concepts
7
Part 2: Relational Data in Azure
11
Part 3: Non-Relational Data in Azure
14
Part 4: Analytics Workload on Azure

Exploring data visualization

Modern data analysis systems serve business intelligence (BI) workloads that include data modeling and visualization. Essentially, data visualization enables data-driven decisions to be made in organizations.

We will explore data visualization in detail in Chapter 13, Working with Power BI.

Data analysts can use a variety of data visualization tools. For example, charting support in productivity tools such as Microsoft Excel and built-in data visualization widgets on notebooks are used to explore data on services such as Azure Synapse Analytics and Azure Databricks, to visually explore data and summarize insights.

Enterprise-scale business analytics, on the other hand, often require an integrated system that can enable complex data modeling, interactive reporting, and secure sharing.

The following is an example of data modeling in Power BI Desktop:

Figure 5.5 – Data modeling in Power BI

As we can see, Power BI...