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Course Outline
1. Azure for the Data Engineer for Government
- Explain the evolving landscape of data management and analytics
- Survey the services available in the Azure Data Platform for government
- Identify the key responsibilities of a Data Engineer for government operations
- Describe use cases for cloud technologies in a government case study
- Understand the evolving data landscape and its implications for government
- Determine the appropriate Azure Data Platform Services for government needs
- Identify tasks that should be performed by a Data Engineer in a government setting
- Finalize deliverables for data engineering projects within the government sector
2. Working with Data Storage for Government
- Select an appropriate data storage approach in Azure for government use
- Create an Azure Storage Account tailored for government requirements
- Explain Azure Data Lake storage and its benefits for government data management
- Upload data into Azure Data Lake to support government operations
- Lab: Working with Data Storage for Government
- Select a data storage approach in Azure suitable for government needs
- Create a Storage Account optimized for government use
- Explain the features of Data Lake Storage and its relevance to government data management
- Upload data into a Data Lake Store to enhance government operations
3. Enabling Team-Based Data Science with Azure Databricks for Government
- Explain the capabilities of Azure Databricks in a government context
- Work with Azure Databricks to support government data science initiatives
- Read and analyze data using Azure Databricks for government projects
- Perform data transformations with Azure Databricks to meet government requirements
- Lab: Enabling Team-Based Data Science with Azure Databricks for Government
- Explain the role of Azure Databricks in government data science
- Work with Azure Databricks to support government data initiatives
- Read and analyze data using Azure Databricks for government projects
- Perform data transformations with Azure Databricks to meet government needs
4. Building Globally Distributed Databases with Cosmos DB for Government
- Create an Azure Cosmos DB database designed to scale for government use
- Insert and query data in your Azure Cosmos DB database to support government operations
- Build a .NET Core app for Cosmos DB using Visual Studio Code, tailored for government applications
- Distribute your data globally with Azure Cosmos DB to enhance government services
- Lab: Building Globally Distributed Databases with Cosmos DB for Government
- Create an Azure Cosmos DB database optimized for government needs
- Insert and query data in Azure Cosmos DB to support government operations
- Build a .NET Core app for Azure Cosmos DB using VS Code, tailored for government applications
- Distribute data globally with Azure Cosmos DB to enhance government services
5. Working with Relational Data Stores in the Cloud for Government
- Utilize Azure SQL Database for government data management
- Describe Azure SQL Data Warehouse and its benefits for government operations
- Create and query an Azure SQL Data Warehouse to support government analytics
- Use PolyBase to load data into Azure SQL Data Warehouse for government projects
- Lab: Working with Relational Data Stores in the Cloud for Government
- Utilize Azure SQL Database for government data management
- Describe Azure SQL Data Warehouse and its benefits for government operations
- Create and query an Azure SQL Data Warehouse to support government analytics
- Use PolyBase to load data into Azure SQL Data Warehouse for government projects
6. Performing Real-Time Analytics with Stream Analytics for Government
- Explain data streams and event processing in a government context
- Data ingestion using Event Hubs for government applications
- Process data with Stream Analytics Jobs to support government operations
- Lab: Performing Real-Time Analytics with Stream Analytics for Government
- Explain data streams and event processing in a government context
- Data ingestion using Event Hubs for government applications
- Process data with Stream Analytics Jobs to support government operations
7. Orchestrating Data Movement with Azure Data Factory for Government
- Explain the functionality of Azure Data Factory in a government setting
- Understand the components of Azure Data Factory and their roles in government data management
- Leverage Azure Data Factory and Databricks to support government data initiatives
- Lab: Orchestrating Data Movement with Azure Data Factory for Government
- Explain how Azure Data Factory operates in a government context
- Understand the components of Azure Data Factory and their roles in government data management
- Leverage Azure Data Factory and Databricks to support government data initiatives
8. Securing Azure Data Platforms for Government
- Provide an introduction to security practices for government data platforms
- Identify key security components in Azure for government use
- Secure Storage Accounts and Data Lake Storage for government operations
- Protect data stores and streaming data in a government context
- Lab: Securing Azure Data Platforms for Government
- Provide an introduction to security practices for government data platforms
- Identify key security components in Azure for government use
- Secure Storage Accounts and Data Lake Storage for government operations
- Protect data stores and streaming data in a government context
9. Monitoring and Troubleshooting Data Storage and Processing for Government
- Explain the monitoring capabilities available for government data platforms
- Troubleshoot common issues related to data storage in a government setting
- Troubleshoot common issues related to data processing in a government context
- Manage disaster recovery strategies for government data systems
- Lab: Monitoring and Troubleshooting Data Storage and Processing for Government
- Explain the monitoring capabilities available for government data platforms
- Troubleshoot common issues related to data storage in a government setting
- Troubleshoot common issues related to data processing in a government context
- Manage disaster recovery strategies for government data systems
Requirements
- Experience with basic data analysis tools, such as Microsoft Excel
- A general understanding of cloud computing concepts, including platforms like Amazon Web Services (AWS)
Audience for Government
- Database engineers
- Developers
35 Hours
Testimonials (3)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
Ian - Archeoworks Inc.
Course - ArcGIS Fundamentals
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
The thing I liked the most about the training was the organization and the location
