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Azure Data Engineer Associate Certification Guide - Second Edition
Azure Data Engineer Associate Certification Guide - Second Edition

Azure Data Engineer Associate Certification Guide: Ace the DP-203 exam with advanced data engineering skills, Second Edition

Profile Icon Giacinto Palmieri Profile Icon Surendra Mettapalli Profile Icon Newton Alex
By Giacinto Palmieri , Surendra Mettapalli , Newton Alex
€20.98 €29.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Book May 2024 548 pages 2nd Edition
eBook
€20.98 €29.99
Print
€37.99
Subscription
Free Trial
Renews at €18.99p/m
Profile Icon Giacinto Palmieri Profile Icon Surendra Mettapalli Profile Icon Newton Alex
By Giacinto Palmieri , Surendra Mettapalli , Newton Alex
€20.98 €29.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Book May 2024 548 pages 2nd Edition
eBook
€20.98 €29.99
Print
€37.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€20.98 €29.99
Print
€37.99
Subscription
Free Trial
Renews at €18.99p/m

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Azure Data Engineer Associate Certification Guide - Second Edition

Part 1: Azure Basics

The Azure Basics domain in the DP-203: Data Engineering on Microsoft Azure exam is a basic component focusing on foundational elements of Microsoft Azure, cloud computing, Azure architecture, and management and governance in Azure environments.

The chapters under this domain will explore these fundamentals, including cloud concepts such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), as well as different deployment models, such as public, private, and hybrid clouds. You will delve into Azure’s architectural components, such as regions, availability zones, and resource groups, and how they support Azure infrastructure, as well as various Azure services and how they can be integrated to create comprehensive solutions. Finally, you will be introduced to tools for managing Azure resources, governance features such as policies and RBAC, and cost management techniques to optimize Azure costs.

In this section of the book, you'll find Chapter 1, Introducing Azure Basics.

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Key benefits

  • Prepare for the DP-203 exam with expert insights, real-world examples, and practice resources
  • Gain up-to-date skills to thrive in the dynamic world of cloud data engineering
  • Build secure and sustainable data solutions using Azure services

Description

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.

What you will learn

  • Design and implement data lake solutions with batch and stream pipelines
  • Secure data with masking, encryption, RBAC, and ACLs
  • Perform standard extract, transform, and load (ETL) and analytics operations
  • Implement different table geometries in Azure Synapse Analytics
  • Write Spark code, design ADF pipelines, and handle batch and stream data
  • Use Azure Databricks or Synapse Spark for data processing using Notebooks
  • Leverage Synapse Analytics and Purview for comprehensive data exploration
  • Confidently manage VMs, VNETS, App Services, and more

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 23, 2024
Length 548 pages
Edition : 2nd Edition
Language : English
ISBN-13 : 9781805124689
Category :
Languages :
Concepts :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon AI Assistant (beta) to help accelerate your learning
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Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : May 23, 2024
Length 548 pages
Edition : 2nd Edition
Language : English
ISBN-13 : 9781805124689
Category :
Languages :
Concepts :

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Table of Contents

17 Chapters
Preface Chevron down icon Chevron up icon
1. Part 1: Azure Basics Chevron down icon Chevron up icon
2. Chapter 1: Introducing Azure Basics Chevron down icon Chevron up icon
3. Part 2: Data Storage Chevron down icon Chevron up icon
4. Chapter 2: Implementing a Partition Strategy Chevron down icon Chevron up icon
5. Chapter 3: Designing and Implementing the Data Exploration Layer Chevron down icon Chevron up icon
6. Part 3:Data Processing Chevron down icon Chevron up icon
7. Chapter 4: Ingesting and Transforming Data Chevron down icon Chevron up icon
8. Chapter 5: Developing a Batch Processing Solution Chevron down icon Chevron up icon
9. Chapter 6: Developing a Stream Processing Solution Chevron down icon Chevron up icon
10. Chapter 7: Managing Batches and Pipelines Chevron down icon Chevron up icon
11. Part 4:Secure, Monitor, and Optimize Data Storage and Processing Chevron down icon Chevron up icon
12. Chapter 8: Implementing Data Security Chevron down icon Chevron up icon
13. Chapter 9: Monitoring Data Storage and Data Processing Chevron down icon Chevron up icon
14. Chapter 10: Optimizing and Troubleshooting Data Storage and Data Processing Chevron down icon Chevron up icon
15. Chapter 11: Accessing the Online Practice Resources Chevron down icon Chevron up icon
16. Other Books You May Enjoy Chevron down icon Chevron up icon

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