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

Inhaltsangabe

Achieve Azure Data Engineer Associate certification success with this DP-203 exam guide

Purchase of this book unlocks access to web-based exam prep resources including mock exams, flashcards, and exam tips, and the eBook PDF

Key Features

• 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

Book 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

Who this book is 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.

Table of Contents

1. Introducing Azure Basics
2. Implementing a Partition Strategy
3. Designing and Implementing the Data Exploration Layer
4. Ingesting and Transforming Data
5. Developing a Batch Processing Solution
6. Developing a Stream Processing Solution
7. Managing Batches and Pipelines
8. Implementing Data Security
9. Monitoring Data Storage and Data Processing
10. Optimizing and Troubleshooting Data Storage and Data Processing

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