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

Tasks and tools for the data analyst

Data analysts are responsible for generating insights from data models and integrations performed by the data engineer. They create analytical reports and dashboards that support the decision-making of companies.

The primary function of the data analyst is not to create reports but to analyze in detail the data visualization requirements of an organization, and then define the best way to present this data.

Tasks of the data analyst

The following are the key tasks of the data analyst:

  • Creating reports related to the viewing needs of business areas
  • Simplifying understanding of the data model in reports
  • Supporting the data engineer in assembling the necessary data integrations, modeling, and organizations
  • Creating prototypes and reports, charts, histograms, chart maps, and trend charts, and entering other representations of the data
  • Exploring information with advanced techniques, always seeking the best information...