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Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide - Second Edition

By : Palmieri, Surendra Mettapalli, Alex
4.6 (16)
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Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide

4.6 (16)
By: Palmieri, Surendra Mettapalli, Alex

Overview of this book

One of the top global cloud providers, Azure offers extensive data hosting and processing services, driving widespread cloud adoption and creating a high demand for skilled data engineers. The Azure Data Engineer Associate (DP-203) certification is a vital credential, demonstrating your proficiency as an Azure data engineer to prospective employers. This comprehensive exam guide is designed for both beginners and seasoned professionals, aligned with the latest DP-203 certification exam, to help you pass the exam on your first try. The book provides a foundational understanding of IaaS, PaaS, and SaaS, starting with core concepts like virtual machines (VMs), VNETS, and App Services and progressing to advanced topics such as data storage, processing, and security. What sets this exam guide apart is its hands-on approach, seamlessly integrating theory with practice through real-world examples, practical exercises, and insights into Azure's evolving ecosystem. Additionally, you'll unlock lifetime access to supplementary practice material on an online platform, including mock exams, interactive flashcards, and exam tips, ensuring a comprehensive exam prep experience. By the end of this book, you’ll not only be ready to excel in the DP-203 exam, but also be equipped to tackle complex challenges as an Azure data engineer.
Table of Contents (17 chapters)
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Lock Free Chapter
1
Part 1: Azure Basics
3
Part 2: Data Storage
6
Part 3:Data Processing
11
Part 4:Secure, Monitor, and Optimize Data Storage and Processing

Introducing Azure Services

Azure provides a wide array of services and technologies that can easily fulfill most real-world use cases. The services provided by Azure are categorized and detailed in the following sections.

Infrastructure as a Service (IaaS)

In IaaS, you get the bare infrastructure (that is, VMs, VNets, and the storage provided by the disks mounted on VMs), and you need to build the rest of the application stack yourself. This option gives the most flexibility for developers in terms of OS versions, library versions, custom patches, and so on.

For example, if you want to run SQL Server on Azure while maintaining control of which version of SQL Server to run, the only option is to create an Azure VM and install SQL Server on it. This makes IaaS the ideal solution for so-called “lift-and-shift” scenarios, where an existing on-premises application needs to be moved to the cloud with minimal changes. However, the trade-off is that IaaS still requires...

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