Module 1: Explore core data concepts
Students will learn about core data concepts such as common data formats, workloads, and roles, and build their foundational knowledge of cloud data services within Microsoft Azure.

Lessons

Core data concepts
Data roles and Services

After completing this module, students will be able to:

Identify common data formats
Describe options for storing data in files
Describe options for storing data in databases
Describe characteristics of transactional data processing solutions
Describe characteristics of analytical data processing solutions
Identify common data professional roles
Identify common cloud services used by data professionals

Module 2: Explore fundamentals of relational data in Azure
Students will explore fundamental relational data concepts and relational database services in Azure.

Lessons

Explore relational data offerings in Azure
Explore Azure services for relational data

Lab : Provision Azure relational database services

After completing this module, students will be able to:

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
Provision a database service on Azure

Module 3: Explore fundamentals of non-relational data in Azure
Students will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB.

Lessons

Fundamentals of Azure Storage
Fundamentals of Azure Cosmos DB

Lab : Explore Azure Storage

Lab : Explore Azure Cosmos DB

After completing this module, students will be able to:

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
Provision and use an Azure Storage account
Describe key features and capabilities of Azure Cosmos DB
Identify the APIs supported in Azure Cosmos DB
Provision and use an Azure Cosmos DB instance

Module 4: Explore fundamentals of data analytics
Students will learn about large-scale data warehousing, real-time analytics, and data visualization.

Lessons

Large-scale data warehousing
Streaming and real-time analytics
Data visualization

Lab : Analyze streaming data

Lab : Visualize data with Power BI

Lab : Explore Azure Synapse Analytics

After completing this module, students will be able to:

Identify common elements of a large-scale data warehousing solution
Describe key features for data ingestion pipelines
Identify common types of analytical data store and related Azure services
Provision Azure Synapse Analytics and use it to ingest, process, and query data
Compare batch and stream processing
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
Identify common types of data visualization and their uses
Create an interactive report with Power BI Desktop

DP-900T00: Microsoft Azure Data Fundamentals