Microsoft Azure Data Fundamentals (DP-900)
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.
Training at a glance
Level
Beginner
Duration
1 Day
Experience
1 year: Microsoft Azure
Average Salary
$91,000
Labs
Yes
Level
Beginner
Duration
1 Day
Experience
0 year: Microsoft Azure
Average Salary
$91,000
Labs
Yes
Training Details
- 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
Lesson 1: Explore core data concepts
- Identify data formats
- Explore file storage
- Explore databases
- Explore transactional data processing
- Explore analytical data processing
Lesson 2: Explore data roles and services
- Explore job roles in the world of data
- Identify data services
Lesson 3: Explore fundamental relational data concepts
- Understand relational data
- Understand normalization
- Explore SQL
- Describe database objects
Lesson 4: Explore relational database services in Azure
- Describe Azure SQL services and capabilities
- Describe Azure services for open-source databases
Lesson 5: Explore Azure Storage for non-relational data
- Explore Azure blob storage
- Explore Azure DataLake Storage Gen2
- Explore Azure Files
- Explore Azure Tables
Lesson 6: Explore fundamentals of Azure Cosmos DB
- Describe Azure Cosmos DB
- Identify Azure Cosmos DB APIs
Lesson 7: Explore fundamentals of large-scale data warehousing
- Describe data warehousing architecture
- Explore data ingestion pipelines
- Explore analytical data stores
Lesson 8: Explore fundamentals of real-time analytics
- Understand batch and stream processing
- Explore common elements of stream processing architecture
- Explore Azure Stream Analytics
- Explore Apache Spark on Microsoft Azure
Lesson 9: Explore fundamentals of data visualization
- Describe Power BI tools and workflow
- Describe core concepts of data modeling
- Describe considerations for data visualization
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 this course.
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