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The Data Engineer's Guide to Microsoft Fabric
The Data Engineer's Guide to Microsoft Fabric
Knygos.lt klubas Knygos.lt nariams
79,04 €
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92,99 €
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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…

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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
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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

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