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Duration 35 hours
Course Outline
Introduction to Azure Data Services
- Overview of Azure data services
- Components and features of the Azure data platform
- Azure-based data solutions
Processing Data with Azure Data Factory
- Fundamentals of Azure Data Factory
- Development and deployment of data pipelines
- Oversight and monitoring of data pipelines
- Security and compliance within Data Factory
Streaming Data with Azure Stream Analytics
- Introduction to Azure Stream Analytics
- Configuration of input and output sources
- Data querying techniques in Stream Analytics
- Error management and scaling strategies
Working with Big Data using Azure Databricks
- Overview of Azure Databricks
- Setup and configuration of Databricks workspaces
- Development and execution of Databricks notebooks
- Runtime configuration and performance optimisation
Storing Data with Azure Cosmos DB
- Fundamentals of Azure Cosmos DB
- Creation and configuration of Cosmos DB accounts
- Utilising Cosmos DB APIs
- Management and monitoring of Cosmos DB
Summary and Exam Preparation
- Consolidation of key concepts
- Strategies and tips for exam readiness
- Practical application through a practice exam
Note: The sequence of topics may change, and additional subjects may be addressed at the discretion of the course instructor.
Requirements
- A solid grasp of core data concepts, alongside practical experience with data technologies such as databases, data warehouses, and data processing frameworks.
- Knowledge of fundamental programming principles, with recommended exposure to SQL and Python.
Intended Audience
- Data engineers
- Database developers
- Business intelligence specialists
- Professionals seeking to master Azure data services and prepare for the DP-203 certification
Testimonials (1)
Everything, is a new platform for me and everything was interesting.
