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

Creating data pipelines

Data pipelines are a collection of various data processing activities arranged in a particular sequence to produce the desired insights from raw data. We have already seen many examples in Azure Data Factory where we chain the activities together to produce a final desirable outcome. ADF is not the only technology available in Azure. Azure also supports Synapse pipelines (which is an implementation of ADF within Synapse) and open source technologies such as Oozie (available via Azure HDInsight), which can help orchestrate pipelines. If your workload only uses open source software, then Oozie could fit the bill. But if the pipeline uses other Azure or external third-party services then ADF might be a better fit as ADF provides readily available source and sink plugins for a huge list of technologies.

You can create a pipeline from the Pipeline tab of Azure Data Factory. All you need to do is to select the activities for your pipeline from the Activities tab...