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

Building a logical folder structure

We learned about efficient folder structures in Chapter 2, Designing a Data Storage Structure, where we explored the best practices for storing data for batch processing and streaming scenarios. The rule of thumb is to store the data in a hierarchical date folder structure, with the date part added toward the end, as shown here:

{Region}/{SubjectMatter(s)}/{yyyy}/{mm}/{dd}/{hh}/

We can have more intermediate folders in the folder path based on our business requirements. Please refer to Chapter 2, Designing a Data Storage Structure, to refresh your memory on designing efficient folder structures.

To create a container on Azure Data Lake Gen 2, you can use the following command via the Azure CLI:

az storage fs create -n <container name> --account-name <account name> --auth-mode login

Once you have created a container, you can easily create folders in it by using the following command:

az storage fs directory create -n...