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 a dimensional hierarchy

Dimensional hierarchy refers to the way we group and organize the dimensional data at multiple levels. In a hierarchical structure, there are usually one-to-many or many-to-many parent-child relationship. Examples of hierarchical structures could be organizational structures, product categories in an online store, a file system and so on. The main characteristic of the hierarchical structure is that all the nodes are identical, and they include pointers to their parent or children's nodes.

In order to achieve a dimensional hierarchy, we can use a technique called as the self-referencing relationship or self-joins within the dimension table. Let us take an example of an Employee dimension.

CREATE TABLE DimEmployee (
	[employeeId] VARCHAR(20) NOT NULL,
	[name] VARCHAR(100),
	[department] VARCHAR(50),
	[title] VARCHAR(50),
	[parentEmployeeId] VARCHAR(20)
)

Here, we have a column called parentEmployeeID referencing the employeeID column....