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Course Outline
Introduction to Azure Data Services for Government
- Overview of Azure data services for government
- Components and features of the Azure data platform for government
- Azure data solutions for government operations
Processing Data with Azure Data Factory for Government
- Introduction to Azure Data Factory for government
- Creating and deploying data pipelines for government use
- Managing and monitoring data pipelines in a government context
- Data Factory security and compliance for government
Streaming Data with Azure Stream Analytics for Government
- Introduction to Azure Stream Analytics for government
- Creating and configuring input and output sources for government applications
- Querying data with Stream Analytics in a government environment
- Handling errors and scaling for government needs
Working with Big Data using Azure Databricks for Government
- Introduction to Azure Databricks for government
- Creating and configuring Databricks workspaces for government use
- Creating and running Databricks notebooks in a government context
- Databricks runtime configuration and performance tuning for government applications
Storing Data with Azure Cosmos DB for Government
- Introduction to Azure Cosmos DB for government
- Creating and configuring Cosmos DB accounts for government operations
- Using Cosmos DB APIs in a government setting
- Managing and monitoring Cosmos DB for government compliance
Summary and Exam Preparation for Government
- Review of key concepts for government professionals
- Exam preparation tips and strategies for government certification
- Hands-on practice exam tailored for government scenarios
Note: The order of the topics may vary, and additional topics relevant to government operations may be covered based on the course instructor's discretion.
Requirements
- A solid foundation in data concepts, along with practical experience working with data technologies such as databases, data warehouses, and data processing systems.
- An understanding of basic programming principles and hands-on experience with SQL and Python is highly recommended.
Target Audience
- Data engineers for government and private sectors
- Database developers
- Business intelligence professionals
- Individuals interested in learning about Azure data services and preparing for the DP-203 exam
35 Hours
Testimonials (1)
Everything, is a new platform for me and everything was interesting.
