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Azure Data Engineer Associate Certification Guide

You're reading from  Azure Data Engineer Associate Certification Guide

Product type Book
Published in Feb 2022
Publisher Packt
ISBN-13 9781801816069
Pages 574 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Newton Alex Newton Alex
Profile icon Newton Alex

Table of Contents (23) Chapters

Preface Part 1: Azure Basics
Chapter 1: Introducing Azure Basics Part 2: Data Storage
Chapter 2: Designing a Data Storage Structure Chapter 3: Designing a Partition Strategy Chapter 4: Designing the Serving Layer Chapter 5: Implementing Physical Data Storage Structures Chapter 6: Implementing Logical Data Structures Chapter 7: Implementing the Serving Layer Part 3: Design and Develop Data Processing (25-30%)
Chapter 8: Ingesting and Transforming Data Chapter 9: Designing and Developing a Batch Processing Solution Chapter 10: Designing and Developing a Stream Processing Solution Chapter 11: Managing Batches and Pipelines Part 4: Design and Implement Data Security (10-15%)
Chapter 12: Designing Security for Data Policies and Standards Part 5: Monitor and Optimize Data Storage and Data Processing (10-15%)
Chapter 13: Monitoring Data Storage and Data Processing Chapter 14: Optimizing and Troubleshooting Data Storage and Data Processing Part 6: Practice Exercises
Chapter 15: Sample Questions with Solutions Other Books You May Enjoy

Rewriting user-defined functions (UDFs)

User-defined functions are custom functions that can be defined in databases and in certain analytical and streaming engines such as Spark and Azure Stream Analytics. An example of a UDF could be a custom function to check whether a given value is a valid email address.

The DP-203 syllabus just mentions the topic as Rewriting user-defined functions. In a literal sense, this is just dropping a UDF and recreating a new one, as we do for SQL or Spark tables. However, I believe the syllabus committee might have referred to rewriting normal repetitive scripts as UDFs to make them efficient from a development perspective. Note that UDFs can also decrease runtime performance if not designed correctly. Let's look at the ways to create UDFs in SQL, Spark, and Streaming.

Writing UDFs in Synapse SQL Pool

You can create a user-defined function in Synapse SQL using the CREATE FUNCTION command in Synapse SQL. Here is an example of using the...

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