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

Designing and implementing a data masking strategy

Data masking is a technique used in SQL technologies to hide sensitive data in SQL query results from non-privileged users. For example, the credit card info of a customer might be masked as XXXX-XXXX-XXXX-1234 instead of showing the complete number while querying a customer table in Synapse SQL. The data itself is not changed in the tables, but the queries and views modify the data dynamically to mask sensitive information.

This feature helps enforce the following two requirements of IAC:

  • Not everyone should have access to all the data – it should be on a need-to-know basis.
  • Maintain customer privacy at all costs.

You can easily create a data mask in Azure Synapse SQL (and in Azure SQL too) using a feature called Dynamic Data Masking (DDM). The following screenshot shows how this can be done in Azure Synapse SQL:

Figure 12.9 – Setting up DDM from the Azure portal

From the...