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 partition strategy for files

In this section, we will look at the partitioning techniques available for Azure Storage, which should also cover files. The Azure Storage services are generic and very flexible when it comes to partitioning. We can implement whatever partition logic we want, using the same Create, Read, Update, Delete (CRUD) application programming interfaces (APIs) that are publicly available. There are no special APIs or features available for partitioning. With that background, let's now explore the partitioning options available in Azure Blob storage and ADLS Gen2.

Azure Blob storage

In Azure Blob storage, we first create Azure accounts; then, within accounts, we create containers; and within containers, we create actual storage blobs. These containers are logical entities, so even when we create data blobs within containers, there is no guarantee that the data will land within the same partition. But there is a trick to enhance our chances of...