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

Components of a Modern Data Warehouse

In this chapter, let’s explore the components of a modern data warehouse on Azure, understanding the different services such as Azure Databricks, Azure Synapse Analytics, and Azure HDInsight.

This chapter looks at content that will map to the skills measured in Describe common elements of a modern data warehouse in the DP-900 certification.

This chapter will be important in your data analytics projects in Azure, as we will explore the different data use cases using Azure tools.

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

  • Describing modern data warehousing
  • Azure data services for modern data warehousing
  • A case study for data analytics on Azure
  • Databricks, Azure HDInsight, and Azure Data Factory
  • Real-time data analytics – Azure Stream Analytics, Azure Data Explorer, Spark Streaming, and Delta Lake