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

Handling schema drifts

A schema drift refers to the changes in schema over time due to changes happening in the event sources. This could be due to newer columns or fields getting older, columns getting deleted, and more.

Handling schema drifts using Event Hubs

If an event publisher needs to share schema details with the consumer, they have to serialize the schema along with the data, using formats such as Apache Avro, and send it across Event Hubs. Here, the schema has to be sent with every event, which is not a very efficient approach.

If you are dealing with statically defined schemas on the consumer side, any schema changes on the producer side would spell trouble.

Event Hubs provides a feature called Azure Schema Registry to handle schema evolution and schema drift. It provides a central repository to share the schemas between event publishers and consumers. Let's examine how to create and use Azure Schema Registry.

Registering a schema with schema registry...