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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
- Implementing Azure data solutions
Processing Data with Azure Data Factory
- Foundations of Azure Data Factory
- Designing and deploying data pipelines
- Administering and monitoring pipeline performance
- Ensuring security and compliance in Data Factory
Streaming Data with Azure Stream Analytics
- Introduction to Azure Stream Analytics
- Setting up and configuring input and output streams
- Executing data queries using Stream Analytics
- Managing errors and system scaling
Working with Big Data using Azure Databricks
- Getting started with Azure Databricks
- Building and configuring Databricks workspaces
- Developing and executing Databricks notebooks
- Runtime configuration and performance optimization
Storing Data with Azure Cosmos DB
- Overview of Azure Cosmos DB
- Creating and managing Cosmos DB accounts
- Leveraging Cosmos DB APIs
- Operations and monitoring of Cosmos DB
Summary and Exam Preparation
- Consolidation of key concepts
- Strategic tips for exam success
- Simulation of the practical exam
Please note: The sequence of topics may shift, and supplementary content may be included at the discretion of the course instructor.
Requirements
- A solid grasp of core data concepts, along with practical experience using data technologies such as databases, data warehouses, and data processing tools.
- Knowledge of basic programming principles, with specific experience in SQL and Python, is advised.
Target Audience
- Data engineers
- Database developers
- Business intelligence specialists
- Professionals aiming to master Azure data services and pass the DP-203 exam
Testimonials (2)
Everything, is a new platform for me and everything was interesting.
Sergiu
Course - AZ-104T00-A: Microsoft Azure Administrator
the instructor :)