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

Introducing the security and privacy requirements

How do you go about designing for the security and privacy of data? Well, let's take an example and try to walk through some scenarios. Let's consider our faithful Imaginary Airport Cabs (IAC) example that we used in our previous chapters. We have already seen that the cab company gets a lot of trips, customers, and driver information streaming in. We have also learned how to store the data in the data lake and SQL stores. Now, let's get a little deeper into the storage topic and figure out how to safeguard confidential and private information.

Let's consider the following requirements from the IAC security team:

  • Data needs to be stored and transferred securely as we are dealing with cloud systems, and no one other than the IAC employees should have access to the data.
  • Changes to data and any activity on the data should be recorded for compliance reasons.
  • Not everyone should have access to all...