The Data Engineer's Guide to Microsoft Fabric (Building Modern Lakehouse Solutions)

Modern data engineering is evolving; and with Microsoft Fabric, the entire data platform experience is being redefined. This essential book offers a fresh, hands-on approach to navigating this shift. Rather than being an introduction to features, this guide explains how Fabric's key components—Lakehouse, Warehouse, and Real-Time Intelligence—work under the hood and how to put them to use in realistic workflows.

Written by Christian Henrik Reich, a data engineering expert with experience that extends from Databricks to Fabric, this book is a blend of foundational theory and practical implementation of lakehouse solutions in Fabric. You'll explore how engines like Apache Spark and Fabric Warehouse collaborate with Fabric's Real-Time Intelligence solution in an integrated platform, and how to build ETL/ELT pipelines that deliver on speed, accuracy, and scale. Ideal for both new and practicing data engineers, this is your entry point into the fabric of the modern data platform.

• Acquire a working knowledge of lakehouses, warehouses, and streaming in Fabric
• Build resilient data pipelines across real-time and batch workloads
• Apply Python, Spark SQL, T-SQL, and KQL within a unified platform
• Gain insight into architectural decisions that scale with data needs
• Learn actionable best practices for engineering clean, efficient, governed solutions