Azure Data Engineering Building Scalable Data Solutions on the Cloud

With Azure becoming the go-to platform for businesses seeking to scale their data infrastructure, this book provides in-depth coverage of Azure's powerful tools and services, from data storage and ingestion to real-time analytics and machine learning integration. You'll learn how to design and implement data pipelines, leverage Azure's big data solutions, manage data governance, and ensure optimal performance while minimizing costs.
Through real-world case studies, you'll explore how to solve common data engineering challenges and apply best practices for scaling solutions, automating workflows, and integrating advanced analytics. Whether you're migrating existing systems to the cloud or building new data architectures, Mastering Azure Data Engineering equips you with the knowledge and skills to navigate the cloud data landscape with confidence.
Key Features:Complete Coverage of Azure Data Engineering Tools: Learn how to leverage services like Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Stream Analytics.Hands-On Tutorials and Case Studies: Real-world examples guide you through building scalable, reliable data solutions.Advanced Topics: Explore big data processing, machine learning integration, data governance, and security.Best Practices: Learn how to optimize your workflows, manage data quality, and scale your data solutions effectively.
Whether you're new to Azure or an experienced cloud engineer, this book provides the foundation you need to excel in the world of Azure data engineering.