DP-900T00 Microsoft Azure Data Fundamentals
In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about modern data warehousing, real-time analytics, and data visualization.
Course Objectives
After completing this course, students will be able to:
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Describe core data concepts
Identify considerations for relational data on Azure
Describe considerations for working with non - relational data on Azure
Describe an analytics workload on Azure
Agenda
- Core data concepts
- Data roles and Services
- Identify how data is defined and stored
- Identify characteristics of relational and non-relational data
- Describe and differentiate data workloads
- Describe and differentiate batch and streaming data
- Identify common data professional roles
- Identify common cloud services used by data professionals
- Explore relational data offerings in Azure
- Explore Azure services for relational data
- Identify characteristics of relational data
- Define normalization
- Identify types of SQL statement
- Identify common relational database objects
- Identify options for Azure SQL services
- Identify options for open-source databases in Azure
- Fundamentals of Azure Storage
- Fundamentals of Azure Cosmos DB
- Describe features and capabilities of Azure blob storage
- Describe features and capabilities of Azure Data Lake Gen2
- Describe features and capabilities of Azure file storage
- Describe features and capabilities of Azure table storage
- Describe key features and capabilities of Azure Cosmos DB
- Identify the APIs supported in Azure Cosmos DB
- Modern data warehousing
- Streaming and real-time analytics
- Data visualization
- Identify common elements of a modern data warehousing solution
- Describe key features for data ingestion pipelines
- Identify common types of analytical data store and related Azure services
- Describe common elements of streaming data solutions
- Describe features and capabilities of Azure Stream Analytics
- Describe features and capabilities of Spark Structured Streaming on Azure
- Describe features and capabilities of Azure Synapse Data Explorer
- Describe a high-level process for creating reporting solutions with Microsoft Power BI
- Describe core principles of analytical data modeling
FREE
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Course Type: Instructor Led