Course Outline

Introduction to End-to-End Analysis with Microsoft Fabric for Government

  • Overview of Microsoft Fabric for Government
  • Understanding the Lakehouse Architecture for Government
  • End-to-End Analytics Workflow for Government

Getting Started with Lakehouses in Microsoft Fabric for Government

  • Core Features and Capabilities of Lakehouses for Government
  • Creating and Configuring a Lakehouse for Government Operations
  • Data Ingestion into Lakehouse Tables for Government Use

Using Apache Spark in Microsoft Fabric for Government

  • Configuring Apache Spark in Microsoft Fabric for Government
  • Leveraging Spark for Distributed Data Processing in Government
  • Analyzing and Transforming Data with Spark DataFrames for Government Applications

Working with Delta Lake Tables in Microsoft Fabric for Government

  • Introduction to Delta Lake and Delta Tables for Government
  • Managing and Versioning Data with Delta Tables for Government Operations
  • Implementing Data Transformations and Queries for Government Use

Ingesting Data with Dataflows Gen2 in Microsoft Fabric for Government

  • Capabilities of Dataflows Gen2 for Government
  • Designing Dataflow Solutions for Data Ingestion in Government
  • Integrating Dataflows into Data Pipelines for Government Operations

Using Data Factory Pipelines in Microsoft Fabric for Government

  • Overview of Data Factory Pipelines for Government
  • Building and Orchestrating Data Pipelines for Government Use
  • Automating Data Movements and Transformations for Government Operations

Summary and Next Steps for Government

Requirements

  • A comprehensive understanding of data management principles for government
  • Practical experience with SQL databases
  • Fundamental knowledge of cloud computing concepts

Audience

  • Data engineers
  • Database administrators
  • Data analysts
 21 Hours

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