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DP-900: Microsoft Azure Data Fundamentals

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Find out more about DP-900: Microsoft Azure Data Fundamentals

The DP-900: Microsoft Azure Data Fundamentals course provides a foundational understanding of core data concepts and how they are implemented using Microsoft Azure services. It is designed for beginners—both technical and non-technical—who want to learn about relational and non-relational data, data analytics, and data storage options in the cloud. The course introduces key Azure data services like Azure SQL Database, Cosmos DB, Azure Data Lake, and Azure Synapse Analytics, focusing on their use cases and benefits. Learners also gain an understanding of basic data processing concepts such as ETL (Extract, Transform, Load), real-time analytics, and data visualization. This course prepares candidates for the DP-900 certification exam, making it an ideal entry point for anyone interested in data roles or cloud-based data solutions. 

Duration
6–8 hours
Fees
$399.00
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About DP-900: Microsoft Azure Data Fundamentals

  • Learn the basics of core data concepts like relational and non-relational data.

  • Understand how data is stored, processed, and analyzed in the cloud.

  • Explore relational database options like Azure SQL Database and Azure Database for PostgreSQL.

  • Get introduced to non-relational databases like Azure Cosmos DB.

  • Learn about big data and analytics services such as Azure Synapse Analytics and Azure Data Lake.

  • Understand data processing concepts including ETL, batch, and real-time processing.

  • Explore data visualization tools like Power BI and how they connect with Azure data.

  • Gain an overview of security, privacy, and compliance in Azure data services.

  • Discover how data solutions are used in various business scenarios.

  • Prepare for the DP-900 certification exam and build a strong data foundation.

Course Contents

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  • Understand types of data: structured, semi-structured, and unstructured
  • Core database concepts: tables, rows, columns, keys, relationships
  • Transactional vs analytical data workloads
  • Understanding batch vs streaming data
  • Overview of relational database concepts
  • Introduction to Azure SQL Database and Azure Database for PostgreSQL/MySQL
  • Understand data normalization, primary keys, foreign keys
  • Implement basic queries and transactions in relational databases
  • Overview of non-relational (NoSQL) database concepts
  • Introduction to Azure Cosmos DB and other NoSQL solutions
  • Understand key-value, document, column-family, and graph databases
  • Compare relational vs non-relational solutions and use cases
  • Understand big data and analytics concepts
  • Introduction to Azure Synapse Analytics and Azure Data Lake Storage
  • Overview of data ingestion, transformation, and visualization
  • Use cases for batch vs real-time analytics

Eligibility of the course

  • ✅ No prior technical experience required – suitable for both technical and non-technical learners.
  • ✅ Basic understanding of data concepts (e.g., tables, databases, and data types) is helpful but not mandatory.
  • ✅ Interest in data roles such as data analyst, data engineer, or database administrator.
  • ✅ Familiarity with basic cloud computing concepts (Azure knowledge is helpful but optional).
  • ✅ Ideal for students, business users, entry-level IT professionals, or anyone exploring data careers.


Key takeaways

  • Comprehensive Study material
  • Access to Practice tests
  • Access to LMS course content
  • Access to course assignments
  • Industry-relevant case-studies




Course Benefits

  • Provides a strong foundational understanding of data concepts and how they are applied using Microsoft Azure data services.
  • Covers relational, non-relational, and analytics workloads.


  • Validates knowledge for roles such as data analyst, business analyst, or cloud consultant.
  • Useful for beginners looking to start a career in data and cloud technologies.


Microsoft certifications are globally recognized and respected by employers.

Demonstrates proficiency in core data concepts and Azure data services.

  • Gain practical experience with Azure SQL, Cosmos DB, Data Lake, and Synapse Analytics.
  • Learn to explore, manage, and analyze data in cloud environments.


  • Serves as a stepping stone to DP-203: Azure Data Engineer Associate and other advanced Azure certifications.


Ideal for beginners or non-developers.

Focuses on conceptual understanding, data principles, and practical application of Azure data services.

FAQs

Asked Questions & Answer

 The DP-900 exam is designed to assess foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. Passing the exam earns the Microsoft Certified: Azure Data Fundamentals certification. 

  • Beginners interested in data, databases, and cloud technologies.
  • Professionals exploring Azure data solutions, including business analysts, data analysts, or technical consultants.
  • No prior programming or Azure experience is required, but basic familiarity with cloud concepts is helpful.


  • No formal prerequisites.
  • Recommended: Basic understanding of cloud concepts and data terminology.


Demonstrates foundational knowledge of data concepts and Azure data services.

Useful for roles such as data analyst, business analyst, or cloud consultant.

Provides a foundation for advanced certifications, like DP-203: Azure Data Engineer Associate.

No, DP-900 is a fundamentals-level exam.

Focuses on concepts, principles, and Azure data services rather than coding.

  • Microsoft certifications are valid for 1 year.
  • Renewal is done through a free online assessment on Microsoft Learn.


 Yes. DP-900 is an entry-level certification designed for beginners. Basic familiarity with cloud concepts helps, but prior Azure experience is not required. 

Azure SQL Database for relational data

Azure Cosmos DB for non-relational data

Azure Data Lake Storage for big data and analytics

Azure Synapse Analytics for data warehousing and analytics workloads

  • No programming experience is required.
  • The exam focuses on conceptual understanding of data types, data workloads, and Azure data services.


Demonstrates foundational knowledge of data concepts and cloud data solutions.

Serves as a stepping stone for advanced Azure certifications like DP-203: Azure Data Engineer Associate.

Useful for roles such as data analyst, business analyst, or cloud consultant.

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