Book Image

Azure Data Engineer Associate Certification Guide

By : Newton Alex
Book Image

Azure Data Engineer Associate Certification Guide

By: Newton Alex

Overview of this book

Azure is one of the leading cloud providers in the world, providing numerous services for data hosting and data processing. Most of the companies today are either cloud-native or are migrating to the cloud much faster than ever. This has led to an explosion of data engineering jobs, with aspiring and experienced data engineers trying to outshine each other. Gaining the DP-203: Azure Data Engineer Associate certification is a sure-fire way of showing future employers that you have what it takes to become an Azure Data Engineer. This book will help you prepare for the DP-203 examination in a structured way, covering all the topics specified in the syllabus with detailed explanations and exam tips. The book starts by covering the fundamentals of Azure, and then takes the example of a hypothetical company and walks you through the various stages of building data engineering solutions. Throughout the chapters, you'll learn about the various Azure components involved in building the data systems and will explore them using a wide range of real-world use cases. Finally, you’ll work on sample questions and answers to familiarize yourself with the pattern of the exam. By the end of this Azure book, you'll have gained the confidence you need to pass the DP-203 exam with ease and land your dream job in data engineering.
Table of Contents (23 chapters)
1
Part 1: Azure Basics
3
Part 2: Data Storage
10
Part 3: Design and Develop Data Processing (25-30%)
15
Part 4: Design and Implement Data Security (10-15%)
17
Part 5: Monitor and Optimize Data Storage and Data Processing (10-15%)
20
Part 6: Practice Exercises

Tuning queries by using indexers

Indexing is another common optimization technology used in database systems, data warehouses, and analytical engines such as Spark. Let's look at the indexing options and tuning guidelines for both Synapse SQL and Spark.

Indexing in Synapse SQL

If you remember, we learned about the different types of indexing in Chapter 5, Implementing Physical Data Storage Structures, in the Implementing different table geometries with Azure Synapse Analytics pools section. I'll recap the different types of indexers we have along with tips for tuning Synapse SQL here again.

There are three primary types of indexing available in Synapse SQL:

  • Clustered Columnstore Index: This is the default index option for Synapse SQL. If you don't specify any indexing options, the table will automatically get indexed using this method. Use this index for large tables > 100 million rows. It provides very high levels of data compression and good overall...