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 cache

Caching is a well-known method for improving read performance in databases. Synapse SQL supports a feature called Result set caching. As the name implies, this enables the results to be cached and reused if the query doesn't change. Once result set caching is enabled, the subsequent query executions directly fetch the results from the cache instead of recomputing the results. The result set cache is only used under the following conditions:

  • The query being considered is an exact match.
  • There are no changes to the underlying data or schema.
  • The user has the right set of permissions to the tables referenced in the query.

You can enable result set caching at the database level in Synapse SQL using the following SQL statement:

ALTER DATABASE [database_name]
SET RESULT_SET_CACHING ON;

You can also turn result set caching on from within a session by using the following command:

SET RESULT_SET_CACHING { ON | OFF };

Note...