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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

Transforming Data Using Apache Spark

This section covers the implementation and use of Apache Spark in Azure Synapse Analytics for data transformation, to handle large-scale data processing tasks efficiently. You will learn how to manage Spark pools and manipulate data with DataFrames and datasets, explore and manipulate data (including selecting, filtering, and aggregating data and optimizing Spark jobs for efficient execution plans), and review the integration of Spark with Azure services and data workload management for the scalability and reliability of data processing pipelines.

Note

This section primarily focuses on the Transform data by using Apache Spark concept of the DP-203: Data Engineering on Microsoft Azure exam.

The information in this section applies to the following flavors of Spark available on Azure:

  • Synapse Spark: Synapse Spark is a component of Azure Synapse Analytics. It provides Apache Spark functionality within the Synapse Analytics ecosystem...
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