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Azure Data Engineer Associate Certification Guide
Azure Data Engineer Associate Certification Guide

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

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Profile Icon Palmieri Profile Icon Alex Profile Icon Surendra Mettapalli
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Mex$179.99 Mex$820.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (17 Ratings)
eBook May 2024 548 pages 2nd Edition
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Mex$179.99 Mex$820.99
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Arrow left icon
Profile Icon Palmieri Profile Icon Alex Profile Icon Surendra Mettapalli
Arrow right icon
Mex$179.99 Mex$820.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (17 Ratings)
eBook May 2024 548 pages 2nd Edition
eBook
Mex$179.99 Mex$820.99
Paperback
Mex$1025.99
Subscription
Free Trial
eBook
Mex$179.99 Mex$820.99
Paperback
Mex$1025.99
Subscription
Free Trial

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Azure Data Engineer Associate Certification Guide

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.

Who is this book for?

This book is for data engineers who want to take the Azure Data Engineer Associate (DP-203) exam and delve deep into the Azure cloud stack. Engineers and product managers new to Azure or preparing for interviews with companies working on Azure technologies will find invaluable hands-on experience with Azure data technologies through this book. A basic understanding of cloud technologies, ETL, and databases will assist with understanding the concepts covered.

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
Language : English
ISBN-13 : 9781805127918
Category :
Languages :
Concepts :
Tools :

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Product Details

Publication date : May 23, 2024
Length: 548 pages
Edition : 2nd
Language : English
ISBN-13 : 9781805127918
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Total Mex$ 2,666.97
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Table of Contents

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

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6
(17 Ratings)
5 star 82.4%
4 star 0%
3 star 11.8%
2 star 5.9%
1 star 0%
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Michael Thomsen Jul 23, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Feefo Verified review Feefo
sarat Jun 16, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This Second Edition is a necessary resource for anyone looking to master Azure data engineering skills or prepare for the certification exam. This certification guide covers the latest syllabus comprehensively and the authors have meticulously explained each topic with practical examples.One of the standout features that I like the most of this guide is the GitHub repository with code examples. It allows you to follow along with the exercises of each chapter, reinforcing the understanding through hands-on practice.This book is an excellent choice for both beginners and experienced professionals seeking to upskill. It not only serves as a thorough learning resource but also provides a wealth of interview questions and practical exercises, ensuring you can test the knowledge effectively.I highly recommend the Azure Data Engineer Certification Guide, Second Edition as a valuable resource for both learning and exam preparation. It is a must-try for anyone serious about advancing their career in Azure data engineering.
Amazon Verified review Amazon
UMA DATTA SAI Jul 03, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I highly recommend "Azure Data Engineer Associate Certification Guide - Second Edition." It's clear, easy to understand, and covers everything you need for the DP-203 exam. The practical examples and exercises are very useful for learning real-world skills. A great resource for anyone aiming to become an Azure data engineer!
Amazon Verified review Amazon
Norm L Jun 19, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I recently delved into this Azure Data Engineer Associate exam guide, and I must say, it’s a fantastic resource for anyone aiming to excel in the DP-203 certification. The book is incredibly well-structured, providing a thorough introduction to core Azure concepts like VMs, VNETS, and App Services, before moving on to more advanced topics such as data storage, processing, and security. It’s not just about theory; the hands-on approach with real-world examples and practical exercises makes learning engaging and effective.What truly sets this guide apart is its supplementary online resources. Access to mock exams, interactive flashcards, and exam tips provides a comprehensive prep experience that’s hard to beat. By the end of this book, you’ll not only feel confident about passing the DP-203 exam on your first try but also equipped with the skills to tackle real-world data engineering challenges. Whether you’re new to Azure or looking to deepen your expertise, this book is a must-have.
Amazon Verified review Amazon
Rajavel S Jun 09, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
It covers pretty detailed for any associate level person to learn and get certified easily. Below are the fundamentals it gives to get certified.1. Azure Portal Introduction2. System Requirements (for learning)3. IaaS, PaaS, SaaS differences in Azure4. VMs in Azure (how to setup, learn for certification)5. Azure Storage (Understanding and Exploration)6. Azure Networking (Exploration and understanding) ~ Network is key to have solid basic foundation7. Exam Readiness DrillThere is much more within the book with usecases or scenarios to practice.Good luck to any associate level person trying to get certified in Azure side.
Amazon Verified review Amazon
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