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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

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
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