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 folder structures for data transformation

Considering the variety and volume of data that will land in a data lake, it is very important to design a flexible, but a maintainable, folder structure. Badly designed or ad hoc folder structures will become a management nightmare and will render the data lake unusable. Some points to keep in mind while designing the folder structure are given here:

  • Human readability—Human-readable folder structures will help improve data exploration and navigation.
  • Representation of organizational structure—Aligning the folder structure according to the organizational structure helps segregate the data for billing and access control. Such a folder structure will help restrict cross-team data access.
  • Distinguish sensitive data—The folder structure should be such that it can separate sensitive data from general data. Sensitive data will require higher levels of audit, privacy, and security policies, so keeping...