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

Configuring checkpoints/watermarking during processing

Let's look at the checkpointing options available in ASA, Event Hubs, and Spark.

Checkpointing in ASA

ASA does internal checkpointing periodically. Users do not need to do explicit checkpointing. The checkpointing process is used for job recoveries during system upgrades, job retries, node failures, and more.

During node failures or OS upgrades, ASA automatically restores the failed node state on a new node and continues processing.

Note

During ASA service upgrades (not OS upgrades), the checkpoints are not maintained, and the stream corresponding to the downtime needs to be replayed.

Next, let's look at how to checkpoint in Event Hubs.

Checkpointing in Event Hubs

Checkpointing or watermarking in Event Hubs refers to the process of marking the offset within a stream or partition to indicate the point up to where the processing is complete. Checkpointing in Event Hubs is the responsibility of the...