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Microsoft Certified Azure Data Fundamentals (Exam DP-900) Certification Guide

You're reading from   Microsoft Certified Azure Data Fundamentals (Exam DP-900) Certification Guide The comprehensive guide to passing the DP-900 exam on your first attempt

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781803240633
Length 300 pages
Edition 1st Edition
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Author (1):
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Marcelo Leite Marcelo Leite
Author Profile Icon Marcelo Leite
Marcelo Leite
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Core Data Concepts
2. Chapter 1: Understanding the Core Data Terminologies FREE CHAPTER 3. Chapter 2: Exploring the Roles and Responsibilities in Data Domain 4. Chapter 3: Working with Relational Data 5. Chapter 4: Working with Non-Relational Data 6. Chapter 5: Exploring Data Analytics Concepts 7. Part 2: Relational Data in Azure
8. Chapter 6: Integrating Relational Data on Azure 9. Chapter 7: Provisioning and Configuring Relational Database Services in Azure 10. Chapter 8: Querying Relational Data in Azure 11. Part 3: Non-Relational Data in Azure
12. Chapter 9: Exploring Non-Relational Data Offerings in Azure 13. Chapter 10: Provisioning and Configuring Non-Relational Data Services in Azure 14. Part 4: Analytics Workload on Azure
15. Chapter 11: Components of a Modern Data Warehouse 16. Chapter 12: Provisioning and Configuring Large-Scale Data Analytics in Azure 17. Chapter 13: Working with Power BI 18. Chapter 14: DP-900 Mock Exam 19. Index 20. Other Books You May Enjoy

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...

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