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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
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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

Upserting Data

Upserting refers to UPDATE or INSERT transactions in data stores to streamline data management. This technique automatically updates existing records or inserts new ones into a database, depending on whether a matching record already exists. The data stores could be relational, key-value, or any other store that supports the concept of updating rows or blobs.

Note

This section primarily focuses on the Upsert data concept of the DP-203: Data Engineering on Microsoft Azure exam.

ADF supports upsert operations if the sink is an SQL-based store. The only additional requirement is that the sink activity must be preceded by an Alter Row operation. Figure 5.30 is an example screenshot of an ADF sink with Allow upsert enabled:

Figure 5.30 – The image depicts the Azure Data Factory’s data flow configuration interface, highlighting the “Allow upsert” option for efficiently updating and inserting data into a database. The interface shows various settings and options for customizing the upsert operation, including the selection of key columns such as “DriverId.”

Figure 5.30 – Upsert operation in ADF used for updating and inserting data

Once you have saved the preceding setup, ADF will automatically do an upsert if a row already exists in the configured sink.

Now...

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