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Azure Data Engineer Associate Certification Guide

You're reading from   Azure Data Engineer Associate Certification Guide Ace the DP-203 exam with advanced data engineering skills

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781805124689
Length 548 pages
Edition 2nd Edition
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Authors (3):
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Newton Alex Newton Alex
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Newton Alex
Giacinto Palmieri Giacinto Palmieri
Author Profile Icon Giacinto Palmieri
Giacinto Palmieri
Mr. Surendra Mettapalli Mr. Surendra Mettapalli
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Mr. Surendra Mettapalli
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Azure Basics FREE CHAPTER
2. Chapter 1: Introducing Azure Basics 3. Part 2: Data Storage
4. Chapter 2: Implementing a Partition Strategy 5. Chapter 3: Designing and Implementing the Data Exploration Layer 6. Part 3:Data Processing
7. Chapter 4: Ingesting and Transforming Data 8. Chapter 5: Developing a Batch Processing Solution 9. Chapter 6: Developing a Stream Processing Solution 10. Chapter 7: Managing Batches and Pipelines 11. Part 4:Secure, Monitor, and Optimize Data Storage and Processing
12. Chapter 8: Implementing Data Security 13. Chapter 9: Monitoring Data Storage and Data Processing 14. Chapter 10: Optimizing and Troubleshooting Data Storage and Data Processing 15. Chapter 11: Accessing the Online Practice Resources 16. Other Books You May Enjoy

Implementing Azure Synapse Link and Querying Replicated Data

Before diving into the implementation of Azure Synapse Link and querying replicated data, it is essential to know the rationale behind integrating these two different products. This learning is crucial because SQL pools on Synapse offer most of the features provided by Transact-SQL on SQL Server or Azure SQL. Consequently, it is natural to feel some confusion about when and why to use one product over the other. The easiest approach to clarifying this confusion is to consider the distinction between transactional workloads and analytical workloads.

Note

This section primarily focuses on the Implement Azure Synapse Link and query the replicated data concept of the DP-203: Data Engineering on Microsoft Azure exam.

Transactional workloads consist of the insertion, update, or deletion of production data, and the main concern here is “data quality” and “consistency.” Analytical workloads consist...

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