Azure Data Engineer Associate Certification Guide: Ace the DP-203 exam with advanced data engineering skills by Giacinto Palmieri, Surendra Mettapalli, Newton Alex
English | May 23, 2024 | ISBN: 1805124684 | 548 pages | PDF | 66 Mb
Achieve Azure Data Engineer Associate certification success with this DP-203 exam guide
Key FeaturesPrepare for the DP-203 exam with expert insights, real-world examples, and practice resourcesGain up-to-date skills to thrive in the dynamic world of cloud data engineeringBuild secure and sustainable data solutions using Azure servicesBook 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 learnDesign and implement data lake solutions with batch and stream pipelinesSecure data with masking, encryption, RBAC, and ACLsPerform standard extract, transform, and load (ETL) and analytics operationsImplement different table geometries in Azure Synapse AnalyticsWrite Spark code, design ADF pipelines, and handle batch and stream dataUse Azure Databricks or Synapse Spark for data processing using NotebooksLeverage Synapse Analytics and Purview for comprehensive data explorationConfidently manage VMs, VNETS, App Services, and moreWho 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 ContentsIntroducing Azure BasicsImplementing a Partition StrategyDesigning and Implementing the Data Exploration LayerIngesting and Transforming DataDeveloping a Batch Processing SolutionDeveloping a Stream Processing SolutionManaging Batches and PipelinesImplementing Data SecurityMonitoring Data Storage and Data ProcessingOptimizing and Troubleshooting Data Storage and Data Processing
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