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 error handling for the transformation

In all our examples of ADF pipelines till now, we have seen only success cases. ADF also provides a separate flow to handle errors and failures. In fact, ADF supports four different flows, as shown in the following screenshot:

Figure 8.29 – ADF activity flows

In case of any errors in any step of the pipeline, we can build an error-handling branch that can be used to either fix the errors or store them for future actions. The following screenshot shows one such pipeline. You will have to connect the orange line to the error-handling activity:

Figure 8.30 – Creating an error-handling pipeline

Select the Execute Pipeline activity and link the Failure flow (the orange line) from any of the other activities to it. This new Execute Pipeline activity could be a full-fledged pipeline in itself, as with the transformation pipelines that we saw earlier in the chapter, or it could...