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

Real-time data analytics – Azure Stream Analytics, Azure Synapse Data Explorer, and Spark streaming

Some analytical use cases aim to monitor near real-time processes to assist in decision-making. For these cases, waiting for a dump from the source database to the target database is not effective; for this reason the concept of a data stream emerged.

In Azure, there are some service options for working data streams; let’s explore each of them.

Azure Stream Analytics

This is an Azure PaaS service and is very simple and efficient. Usually accompanied by the Azure event queue service, called Azure Event Hubs, Azure Stream Analytics consists of running SQL scripts on each of the events that arrive to be processed; that is, it is a data passing service, with some filtering, groupings, transformations, and so on.

The following figure reflects the data flow performed by Azure Stream Analytics:

Figure 11.11 – Azure Stream Analytics concept...