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Course Outline
Introduction to Azure Data Services
- Azure data services overview
- Azure data platform components and features
- Azure data solutions
Processing Data with Azure Data Factory
- Introduction to Azure Data Factory
- Creating and deploying data pipelines
- Managing and monitoring data pipelines
- Data Factory security and compliance
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 order of the topics may vary and some additional topics may be covered based on the course instructor's discretion.
Requirements
- A fundamental understanding of data concepts and experience working with data technologies such as databases, data warehouses, and data processing.
- Familiarity with basic programming concepts and experience with SQL and Python is recommended.
Audience
- Data engineers
- Database developers
- Business intelligence professionals
- Anyone who wants to learn about Azure data services and prepare for the DP-203 exam
35 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 8000 € + VAT*
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