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

Summary

With that, we have come to the end of this chapter. This chapter is one of the lengthiest chapters but luckily not so complicated. We started with designing the security requirements of our IAC example and then used that as our guide to explore the various security and compliance topics. We learned about encryption at rest and transit, enabling auditing for Azure Data Lake Storage and Synapse SQL, implementing data masking, RBAC and ACL rules, row- and column-level security, and had a recap on data retention and purging. After that, we continued with topics such as AAD and Key Vault to manage keys, secrets, and certificates, learned about secure endpoints, and details of tokens and encryption in Spark. Finally, we wrapped it up with concepts to be followed to design data privacy. You have now covered more or less all the important topics in handling security and privacy. You should now be able to design and implement a complete security and privacy solution on top of Azure...