Microsoft Azure Data Fundamentals (DP-900)

Microsoft Azure Data Fundamentals (DP-900)

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1 Days

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Course Description

Course Overview

The Microsoft Azure Data Fundamentals (DP-900) course is designed to provide participants with a foundational understanding of data concepts and how they are implemented in Azure. The course covers various data-related technologies and services available in Azure, including relational and non-relational data, analytics, data integration, and data governance. Participants will gain knowledge of Azure data services and their functionalities, enabling them to make informed decisions when working with data in Azure.


No prerequisites are required for this course. It is designed for individuals who have little or no experience with data concepts or Azure data services.


The training program combines instructor-led sessions, hands-on labs, and interactive discussions to ensure a comprehensive and practical learning experience. Participants will have access to Azure resources and tools throughout the training to reinforce their understanding and gain hands-on experience.

Course Outline

  • Data Concepts
  • Introduction to data concepts and terms
  • Understanding relational and non-relational data
  • Exploring data storage options
  • Differentiating between structured and unstructured data
  • Implementing data retention and archiving strategies
  • Azure Data Services
  • Overview of Azure data services and solutions
  • Exploring Azure SQL Database and Azure Synapse Analytics
  • Understanding Azure Cosmos DB and Azure Data Lake Storage
  • Introducing Azure Data Factory and Azure Databricks
  • Utilizing Azure Cognitive Services for data processing
  • Data Analytics and Visualization
  • Implementing data analytics with Azure services
  • Exploring Azure Synapse Analytics and Azure HDInsight
  • Understanding Azure Stream Analytics and Azure Analysis Services
  • Visualizing data with Power BI and Azure Data Studio
  • Utilizing machine learning for data analysis
  • Data Integration and Management
  • Introducing Azure Data Factory for data integration
  • Understanding Azure Data Catalog and Azure Data Share
  • Implementing data migration strategies
  • Ensuring data quality and governance in Azure
  • Implementing data security and compliance measures


Upon completing this training, participants will be able to:

  • Understand key data concepts and terms
  • Identify and differentiate between various data storage options in Azure
  • Describe and utilize core Azure data services and solutions
  • Analyze and visualize data using Azure analytics services
  • Integrate and manage data with Azure Data Factory and other services
  • Implement data security, compliance, and governance measures in Azure


The training includes hands-on labs to provide participants with practical experience working with Azure data services. These labs may include exercises such as:

  • Creating and managing an Azure SQL Database
  • Analyzing data with Azure Synapse Analytics and Power BI
  • Implementing data integration using Azure Data Factory
  • Working with unstructured data in Azure Cosmos DB
  • Utilizing Azure Cognitive Services for data processing and analysis
  • Implementing data security and governance measures in Azure

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