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 non-relational data

The relational database that we discussed in the previous chapter is widely used, but it does not fit some types of existing data. This data is related to transaction logs, audio files, videos, images, and formatted files such as JSON and XML, among others.

For this reason, specific databases have been created for non-relational data.

Generated data needs to be stored, some of it temporarily and some permanently. Some types of data files are structured and prepared to be stored in a relational database, and others are semi-structured or unstructured, as we already discovered in Chapter 1, Understanding the Core Data Terminologies. This data is called non-relational data. Let’s better understand these structures and how we can store each type of unstructured or semi-structured data.

The characteristics of non-relational data are as follows:

  • They are usually files
  • They have different organization schema...