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 the characteristics of relational data

Relational data is data that can be organized into a relational model, based on tables and their relationships.

Created in 1985 by Edgar Frank Codd, the relational model is a data storage format that models tables and the relationships between them before a database begins to receive data.

Let’s start by understanding the relational data characteristics, the basic objects that make up this approach, and the most common usage scenarios.

Tables and entities

A table is a materialized structure of an entity for storing structured data in columns and rows.

Entity is anything you want to store data on. They usually represent people, things, actions, processes, and so on. For example, CUSTOMER, PRODUCTS, SALES, and OFFICES entities can be materialized in tables within a relational database.

These columns are predetermined and configured to receive specific data types, while the rows will be the records or data present...