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 row-level and column-level security

Azure Synapse SQL (and Azure SQL) provide some very useful fine-grained security at the level of rows and columns in a table. Let's learn how to use these features for restricting data access, starting with row-level security.

Designing row-level security

Row-level security restricts access to certain table rows to unauthorized users. On a high level, you can think of this as similar to using WHERE conditions in a SELECT statement. Row-level security is achieved by creating security policies. We will look at an example of how to create such a rule in the next few pages. These rules reside in the database itself. Hence, irrespective of how the data is accessed, either via queries, views, or any other methods, the data access restriction will be enforced.

Let's look at an example using our IAC scenario again. Let's imagine that the IAC company is trying to launch their service at a bunch of new locations...