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 analytical stores

Analytical stores could either be SQL or NoSQL data stores deployed in the data lake Serving Zone. The main job of an analytical data store is to serve the data generated by the data transformation pipelines to the BI tools in a fast and simple manner. Analytical stores are usually subjected to ad hoc querying from business analysts and other end users. As such, these stores need to perform really well with random reads. Azure provides a variety of storage technologies that can cater to these requirements. Here are some of the most important ones:

  • Azure Synapse Analytics (Serverless/dedicated SQL pools and Spark pools)—Synapse Analytics provides both SQL pools and Spark pools. Among these, the SQL dedicated pools are massively parallel processing (MPP) data warehouses and are usually ideal for a majority of analytical store situations. Serverless SQL pools can be used for ad hoc querying. Spark pools, on the other hand, can support analytical...