Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
1. Azure for the Data Engineer
- Explain the evolving landscape of data.
- Survey the services within the Azure Data Platform.
- Identify the responsibilities of a Data Engineer.
- Describe cloud use cases through a case study.
- Identify the evolving landscape of data.
- Determine Azure Data Platform services.
- Identify tasks performed by a Data Engineer.
- Finalize data engineering deliverables.
2. Working with Data Storage
- Select a data storage approach in Azure.
- Create an Azure Storage Account.
- Explain Azure Data Lake storage.
- Upload data into Azure Data Lake.
- Lab: Working with Data Storage.
- Select a data storage approach in Azure.
- Create a Storage Account.
- Explain Data Lake Storage.
- Upload data into Data Lake Store.
3. Enabling Team-Based Data Science with Azure Databricks
- Explain Azure Databricks.
- Work with Azure Databricks.
- Read data using Azure Databricks.
- Perform transformations with Azure Databricks.
- Lab: Enabling Team-Based Data Science with Azure Databricks.
- Explain Azure Databricks.
- Work with Azure Databricks.
- Read data using Azure Databricks.
- Perform transformations with Azure Databricks.
4. Building Globally Distributed Databases with Cosmos DB
- Create a scalable Azure Cosmos DB database.
- Insert and query data in your Azure Cosmos DB database.
- Build a .NET Core application for Cosmos DB in Visual Studio Code.
- Distribute your data globally using Azure Cosmos DB.
- Lab: Building Globally Distributed Databases with Cosmos DB.
- Create an Azure Cosmos DB.
- Insert and query data in Azure Cosmos DB.
- Build a .NET Core application for Azure Cosmos DB using VS Code.
- Distribute data globally with Azure Cosmos DB.
5. Working with Relational Data Stores in the Cloud
- Utilize Azure SQL Database.
- Describe Azure SQL Data Warehouse.
- Create and query an Azure SQL Data Warehouse.
- Use PolyBase to load data into Azure SQL Data Warehouse.
- Lab: Working with Relational Data Stores in the Cloud.
- Utilize Azure SQL Database.
- Describe Azure SQL Data Warehouse.
- Create and query an Azure SQL Data Warehouse.
- Use PolyBase to load data into Azure SQL Data Warehouse.
6. Performing Real-Time Analytics with Stream Analytics
- Explain data streams and event processing.
- Ingest data with Event Hubs.
- Process data using Stream Analytics Jobs.
- Lab: Performing Real-Time Analytics with Stream Analytics.
- Explain data streams and event processing.
- Ingest data with Event Hubs.
- Process data using Stream Analytics Jobs.
7. Orchestrating Data Movement with Azure Data Factory
- Explain how Azure Data Factory operates.
- Azure Data Factory components.
- Azure Data Factory integration with Databricks.
- Lab: Orchestrating Data Movement with Azure Data Factory.
- Explain how Data Factory works.
- Azure Data Factory components.
- Azure Data Factory integration with Databricks.
8. Securing Azure Data Platforms
- Introduction to security.
- Key security components.
- Securing Storage Accounts and Data Lake Storage.
- Securing data stores.
- Securing streaming data.
- Lab: Securing Azure Data Platforms.
- Introduction to security.
- Key security components.
- Securing Storage Accounts and Data Lake Storage.
- Securing data stores.
- Securing streaming data.
9. Monitoring and Troubleshooting Data Storage and Processing
- Explain available monitoring capabilities.
- Troubleshoot common data storage issues.
- Troubleshoot common data processing issues.
- Manage disaster recovery.
- Lab: Monitoring and Troubleshooting Data Storage and Processing.
- Explain available monitoring capabilities.
- Troubleshoot common data storage issues.
- Troubleshoot common data processing issues.
- Manage disaster recovery.
Requirements
- Experience with fundamental data analysis (e.g., Excel).
- A general understanding of cloud concepts (e.g., AWS).
Audience
- Database engineers.
- Developers.
35 Hours
Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
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.