DP-900T00 Introduction to Microsoft Azure Data
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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.
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$695.00
Oct 05 - Oct 05, 2026
9:00 AM - 5:00 PM Eastern- VILT
- Dec 07 - Dec 07, 2026
- 9:00 AM - 5:00 PM Eastern
- VILT
Who should attend DP-900T00 Introduction to Microsoft Azure Data Course
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.
Prerequisites for DP-900T00 Introduction to Microsoft Azure Data Course
DP-900T00 Introduction to Microsoft Azure Data Course Outline
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FAQs on DP-900T00 Introduction to Microsoft Azure Data
This course is designed for individuals looking to build foundational knowledge of database concepts in the cloud, including beginners seeking basic skilling in Azure data services and cloud-based data management.
There are no formal prerequisites. However, basic computing and internet knowledge, familiarity with data-related concepts like spreadsheets and charts, and an interest in data analysis are recommended.
The course covers core data concepts, relational and non-relational data services in Azure, Azure Storage options, Azure Cosmos DB fundamentals, and analytics workloads including data ingestion, processing, and visualization.
The course covers Azure SQL services, open-source database options, Azure Blob Storage, Data Lake Storage Gen2, Microsoft OneLake, Azure Files, Azure Tables, and Azure Cosmos DB.
Learners will understand core data concepts, relational and non-relational data considerations on Azure, and how to describe analytics workloads including data ingestion, storage, processing, and insight generation.