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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