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Duration 35 hours
Course Outline
Foundations of Azure Data Services
- Comprehensive overview of Azure data services
- Key components and capabilities of the Azure data platform
- Architecting Azure data solutions
Data Processing via Azure Data Factory
- Core concepts of Azure Data Factory
- Designing and deploying efficient data pipelines
- Oversight and monitoring of pipeline performance
- Ensuring security and compliance in Data Factory
Real-Time Data Streaming with Azure Stream Analytics
- Essentials of Azure Stream Analytics
- Configuration of input and output data sources
- Executing queries using Stream Analytics
- Error management strategies and scaling techniques
Big Data Processing with Azure Databricks
- Introduction to the Azure Databricks environment
- Setting up and configuring Databricks workspaces
- Development and execution of Databricks notebooks
- Runtime setup and performance optimization
Data Storage Solutions with Azure Cosmos DB
- Understanding Azure Cosmos DB
- Establishing and configuring Cosmos DB accounts
- Leveraging Cosmos DB APIs
- Operational management and monitoring of Cosmos DB
Recap and Certification Readiness
- Consolidation of core concepts
- Strategic tips for exam success
- Simulation of the practical examination
Please note: The sequence of modules may be adjusted, and additional subjects might be included at the instructor’s discretion to enhance learning outcomes.
Requirements
- A solid grounding in core data concepts, alongside practical experience with data technologies including databases, data warehouses, and data processing frameworks.
- Working knowledge of basic programming principles, with experience in SQL and Python being highly beneficial.
Target Audience
- Data engineers
- Database developers
- Business intelligence specialists
- Professionals aiming to explore Azure data services and certify their expertise for the DP-203 exam
Testimonials (1)
Everything, is a new platform for me and everything was interesting.
