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 solution for temporal data

Temporal data refers to data at specific points in time. Storing temporal data is required in situations like data auditing, forensic investigations, maintaining SCDs, point in time recoveries and so on. Azure SQL and SQL server provides a mechanism called Temporal tables to store temporal data.

Temporal tables are specialized tables that keep track of data changes over time. They track the history of data changes like what we had already seen in SCD tables, but in this case the system takes care of managing the time validity period of each row, instead of we having to do it manually. Hence these tables are also called as System-versioned temporal tables.

Note

Temporal table is a concept of Azure SQL database and SQL server. It was not available in Azure Synapse pools as of writing this book.

Let us look at an example of how to create Temporal tables in Azure SQL:

CREATE TABLE Customer
(
  [customerId] INT NOT NULL PRIMARY...