DP-900T00 Introduction to Microsoft Azure Data
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 large-scale data warehousing, real-time analytics, and data visualization.
- 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
The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.
There are no prerequisites for the Microsoft Azure Data Fundamentals (DP-900) course. However, candidates should have some basic knowledge of computing and the internet, and an interest in data analysis. They should also be familiar with data-related concepts, such as working with spreadsheets and charts.
- Identify data formats
- Explore file storage
- Explore databases
- Explore transactional data processing
- Explore analytical data processing
- Module assessment
- Explore job roles in the world of data
- Identify data services
- Module assessment
- Understand relational data
- Understand normalization
- Explore SQL
- Describe database objects
- Module assessment
- Describe Azure SQL services and capabilities
- Describe Azure services for open-source databases
- Module assessment
- Explore Azure Blob Storage
- Explore Azure Data Lake Storage Gen2
- Explore Microsoft OneLake in Fabric
- Explore Azure Files
- Explore Azure Tables
- Module assessment
- Describe Azure Cosmos DB
- Identify Azure Cosmos DB APIs
- Module assessment
- Describe data warehousing architecture
- Explore data ingestion pipelines
- Explore analytical data stores
- Understand batch and stream processing
- Explore common elements of stream processing architecture
- Explore Microsoft Fabric Real-Time Intelligence
- Explore Apache Spark structured streaming
- Module assessment
- Describe Power BI tools and workflow
- Describe core concepts of data modeling
- Describe considerations for data visualization
- Module assessment