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

Working with Relational Data

In this chapter, you will learn the concepts of relational databases and the SQL language, which is widely used by relational database management systems.

We will explore the relational model for databases, how tables are structured, how you can use database objects such as indexes to improve query performance, and views to simplify complex queries.

The purpose of this chapter is to explore the concepts of relational databases and how SQL is used. For this reason, we will not run the scripts yet, as the result is not important right now; understanding the logic is our target.

In Chapter 8, Querying Relational Data in Azure, we will run the SQL scripts and evaluate their returns.

By the end of this chapter, you will be able to understand the following:

  • The characteristics of relational data
  • How to build a relational model
  • Normalization and SQL language concepts
  • Relational database components