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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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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

SQL Serverless and Spark Clusters

Data exploration often consists of running a series of queries against raw data to grasp its structure and content, keeping in mind the need to plan the transformations required to make it feasible for data analysis. Azure offers many tools that can be used for this purpose, particularly Synapse Analytics Serverless SQL pool and the various implementations of Apache Spark, such as Synapse Spark and Databricks.

Note

This section primarily focuses on the Creating and executing queries by using a compute solution that leverages SQL serverless and Spark cluster topic of the DP-203: Data Engineering on Microsoft Azure exam.

Starting with Synapse Analytics Serverless pool, the easiest way to introduce the Serverless SQL pool is by comparing and contrasting it with the other options available in Synapse to run SQL pools – for example, dedicated SQL pools. The SQL server instances consist of clusters (pool and cluster can be considered synonyms...

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