Azure Storage, Streaming, and Batch Analytics: A Guide for Data Engineers

Build an Azure Analytics System, Piece by Piece

Azure Storage, Streaming, and Batch Analytics: A Guide for Data Engineers is a practical, service-by-service exploration of how to design and connect data systems on Microsoft Azure. Rather than treating Azure as a collection of isolated tools, Richard L. Nuckolls shows how storage, ingestion, stream processing, batch analytics, and orchestration work together in a real analytics workflow.

The book is especially useful for readers who want to understand the moving parts behind a production-style Azure data platform. It moves through the core services that data engineers are likely to encounter, including Azure Storage, Azure Data Lake Storage, Event Hubs, Azure Stream Analytics, Azure Data Lake Analytics, U-SQL, Azure Data Factory, and Azure SQL Database.

What the Book Covers

• Foundations of data engineering in Azure
• Storage and data organization with Azure Storage accounts and Data Lake Storage
• Event-driven and real-time processing with Event Hubs and Stream Analytics
• Batch querying and analytics with Azure Data Lake Analytics and U-SQL
• Workflow integration and orchestration with Azure Data Factory
• Managed SQL storage and integration with Azure SQL Database

A Hands-On View of Azure Services

The material is built around practical architecture and implementation choices. That makes it a strong fit for readers who want to see how individual Azure services support a larger analytics solution, especially when the same data must be handled in more than one way: streamed, stored, queried, and transformed.

For data engineers, cloud developers, and technical readers working with Microsoft technologies, this ebook offers a clear path through the key Azure components used in modern analytics systems. It is structured to help readers understand both the purpose of each service and the role it plays in the wider system.

Why It Stands Out

Some books explain Azure services in isolation. This one is more interested in how they connect. That practical framing gives the book its value: the services are introduced as working parts of a single system, not just as features to memorize.

If you are building or studying Azure-based analytics infrastructure, this title gives you a focused, engineering-minded foundation.