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

Case study

Data analytics is today one of the main topics within companies. With it, the use cases are endless, depending on the industry of the organization and the department that is working on the data.

In this chapter, we will discuss a case study of a global food company, a leader in its field, detailing its journey of implementing a data analytics strategy.

Data-driven culture

In a large and complex organization, the ability to balance continuity and change has been key to its success. The enterprise realized that in order to react rapidly to the market, its staff required improved access to data and to create a data-driven culture.

These building blocks are used as the foundation for analytical solutions for an organization in business areas such as financial management, marketing, sales, and HR.

This organization is utilizing innovative technologies, including blockchain, IoT, and cloud computing, to make shopping even more frictionless and personalized, for...