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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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Toc

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

Summary

To implement a project with large-scale data analytics, Azure offers a variety of solutions, such as Azure Synapse Analytics, Azure Databricks, Azure HDInsights, Azure Machine Learning, and Azure Data Explorer, among others.

The DP-900 exam requires the knowledge to explore these options, with a greater focus on the motivations for using each tool, and has some more detailed questions based on Azure Synapse Analytics, which is the main Azure platform for these projects. The knowledge gained in this chapter and our exploration of the tool is not only very important for answering these questions but also for directing your path when it comes to a real-life project.

To sum up what we covered in the chapter, we started by exploring the SQL pools further – serverless and dedicated – executing SQL scripts to exercise them. Then, we had an overview of the Spark pools, Data Explorer pools, Azure Synapse Link, and the integration of Azure Synapse with Azure Machine...

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