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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

Part 1: Core Data Concepts

This part will provide complete coverage of the knowledge and skills required for the Skills measured under the Describe Core Data Concepts section of the exam syllabus. We will also cover knowledge and skills that go beyond exam content so that you are prepared for a real-world, day-to-day Azure data-focused role.

In this part, you will learn about the concepts surrounding data projects, from the terminology and the roles of a data team to the different types of data workloads, such as relational, non-relational, and analytical.

This part comprises the following chapters:

  • Chapter 1, Understanding the Core Data Terminologies
  • Chapter 2, Exploring the Roles and Responsibilities in Data Domain
  • Chapter 3, Working with Relational Data
  • Chapter 4, Working with Non-Relational Data
  • Chapter 5, Exploring Data Analytics Concepts
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