BUNDLE OBJECTIVE
This bundle is tailored for cloud data engineers, Azure developers, and IT professionals aiming to achieve expert-level proficiency in Azure data engineering and infrastructure management. Through practical examples, real-world case studies, and step-by-step guidance, learners will gain expertise in orchestrating data pipelines, managing ETL processes, and leveraging Azure IaaS for scalable cloud deployments.
KEY FEATURES
Comprehensive coverage of Azure Data Factory and ETL.
Advanced techniques for Azure data engineering.
Enterprise-level Azure IaaS management strategies.
Hands-on examples and real-world scenarios.
Step-by-step guidance for pipeline orchestration and automation.
DESCRIPTION
The Azure Data Engineer — Expert Path bundle is a 3-book collection designed to equip learners with the skills needed to become proficient in Azure data engineering and cloud infrastructure management.
Mastering Azure Data Factory for Modern Data Integration — Learn how to design, orchestrate, and automate data pipelines across hybrid and cloud environments using Azure Data Factory. Real-world examples demonstrate data movement, transformation, and integration at scale.
Ultimate Azure Data Engineering — Dive deep into Azure data engineering concepts, starting from SQL and relational database fundamentals to advanced data integration, ETL, and pipeline automation. Compare on-premises and cloud practices while mastering data orchestration and workflow optimization.
Ultimate Azure IaaS for Infrastructure Management — Understand and implement Azure Infrastructure as a Service (IaaS) to efficiently manage cloud resources. From foundational concepts to advanced architecture, this guide provides a clear roadmap for enterprise-grade cloud infrastructure management.
Together, these titles enable learners to architect, implement, and manage data workflows and cloud infrastructure on Azure, bridging foundational knowledge with advanced, hands-on applications.
WHAT WILL YOU LEARN
Design, orchestrate, and automate Azure data pipelines.
Implement ETL workflows and manage heterogeneous data sources.
Master Azure IaaS for scalable, secure cloud deployments.
Optimize data integration and pipeline performance.
Apply best practices for Azure data engineering in enterprise scenarios.
Transition from advanced to expert-level proficiency in Azure.
WHO THIS BUNDLE IS FOR
Cloud Data Engineers and Developers, IT professionals and Azure enthusiasts, Data professionals working with ETL, pipelines, and infrastructure, Readers with intermediate knowledge of Azure, SQL, and cloud fundamentals
