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 SCDs

SCDs refer to data in dimension tables that changes slowly over time and not at a regular cadence. A common example for SCDs is customer profiles—for example, an email address or the phone number of a customer doesn't change that often, and these are perfect candidates for SCD. In this section, we will look at how to design for such changes.

Services such as Azure SQL provide inbuilt support for SCD, but in data warehouses such as Synapse dedicated pools, we will have to implement them ourselves.

Here are some of the main aspects we will need to consider while designing an SCD:

  • Should we keep track of the changes? If yes, how much of the history should we maintain?
  • Or, should we just overwrite the changes and ignore the history?

Based on our requirements for maintaining the history, there are about seven ways in which we can accomplish keeping track of changes. They are named SCD1, SCD2, SCD3, and so on, up to SCD7.

Among these...