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Course Outline
Introduction to Azure Data Services
- Overview of Azure data services
- Components and features of the Azure data platform
- Azure data solutions
Processing Data with Azure Data Factory
- Introduction to Azure Data Factory
- Creating and deploying data pipelines
- Managing and monitoring data pipelines
- Security and compliance in Data Factory
Streaming Data with Azure Stream Analytics
- Introduction to Azure Stream Analytics
- Creating and configuring input and output sources
- Querying data with Stream Analytics
- Handling errors and scaling
Working with Big Data using Azure Databricks
- Introduction to Azure Databricks
- Creating and configuring Databricks workspaces
- Creating and running Databricks notebooks
- Databricks runtime configuration and performance tuning
Storing Data with Azure Cosmos DB
- Introduction to Azure Cosmos DB
- Creating and configuring Cosmos DB accounts
- Using Cosmos DB APIs
- Managing and monitoring Cosmos DB
Summary and Exam Preparation
- Review of key concepts
- Exam preparation tips and strategies
- Hands-on practice exam
Note: The sequence of topics may vary, and additional subjects may be included at the course instructor's discretion.
Requirements
- A solid grasp of data concepts and prior experience with data technologies, including databases, data warehouses, and data processing tools.
- Familiarity with core programming principles, along with experience in SQL and Python, is recommended.
Target Audience
- Data engineers
- Database developers
- Business intelligence professionals
- Individuals seeking to learn about Azure data services and prepare for the DP-203 exam
35 Hours
Testimonials (1)
Everything, is a new platform for me and everything was interesting.
