DP-900: Microsoft Azure Data Fundamentals Training is a beginner-level course designed to introduce learners to core data concepts and how data is stored, processed, and analyzed using Microsoft Azure. The course provides a strong foundation in understanding different types of data, data workloads, and the roles involved in working with data.

Learners explore relational and non-relational data concepts using Azure services such as Azure SQL Database and Azure Cosmos DB, along with modern data warehousing and analytics workloads using Azure Synapse Analytics, Azure Data Lake, and Power BI. The course also covers essential topics such as data security, governance, compliance, cost management, and Azure support options.

By the end of the course, learners will have a clear understanding of how Azure supports data storage and analytics scenarios and will be well prepared for the DP-900 Azure Data Fundamentals certification and further learning in data engineering, analytics, or data science on Azure.

Module 1: Core Data Concepts

• Understanding the importance of data in modern organizations

• Evolution of data storage and processing

• Types of data: Structured, Semi-structured, Unstructured

• Data processing categories: Batch processing, Stream processing

• Common data roles: Data Engineer, Data Scientist, Data Analyst

• Understanding transactional (OLTP) vs analytical (OLAP) workloads

Module 2: Relational Data Concepts

• Introduction to relational databases

• Tables, rows, columns, and schemas

• Keys and relationships

• Common use cases for relational data

• Overview of relational workloads in cloud environments

Module 3: Relational Data in Azure

• Overview of Azure SQL Database

• Azure SQL deployment models

• Provisioning and managing Azure SQL databases

• Querying and maintaining relational data in Azure

• Security features: Authentication and authorization, Backups and high availability

Module 4: Non-Relational Data Concepts

• Understanding non-relational (NoSQL) data

• Common non-relational data use cases

• Differences between relational and non-relational data

• Overview of NoSQL data models

Module 5: Non-Relational Data in Azure

• Introduction to Azure Cosmos DB

• Core features: Schema-less design, Global distribution, Scalability and performance

• Understanding data models

Module 6: Analytics Workloads in Azure

• Understanding analytics workloads

• Introduction to data warehousing concepts

• Modern data warehouse architecture

• Overview of Azure Synapse Analytics

• Introduction to big data analytics in Azure

Module 7: Data Analytics and Visualization

• Role of analytics in data-driven decision-making

• Introduction to Azure Data Lake

• Integrating Azure data sources with analytics tools

Module 8: Security, Compliance, and Governance

• Introduction to data security concepts in Azure

• Identity and access management for data services

• Data encryption and network security

• Azure compliance offerings and trust center

• Governance considerations for Azure data workloads

Module 9: Cost Management and Support

• Azure pricing models

• Estimating costs using the Azure Pricing Calculator

• Azure Cost Management and billing alerts

• Azure support plans and service level agreements (SLAs)

• Navigating Microsoft Learn and Azure documentation

Module 10: DP-900 Exam Preparation and Review

• Mapping course topics to DP-900 exam objectives

• Review of key concepts and terminology

• Sample questions and knowledge checks

• Exam tips and preparation strategies

• Guidance on next steps in the Azure certification path

To successfully complete DP-900: Microsoft Azure Data Fundamentals Training, learners should have:

• Basic computer literacy and comfort using a computer

• No prior experience with databases or Microsoft Azure required

• No programming or SQL knowledge required

• Interest in learning data concepts and analytics fundamentals

• Willingness to participate in concept-based learning and guided demonstrations

By the end of this course, you will be able to:

• Understand core data concepts and how data is used in modern organizations

• Identify different types of data and appropriate data processing methods

• Distinguish between transactional and analytical workloads

• Understand relational data concepts and how they are implemented in Azure

• Work with Azure SQL Database for relational data scenarios

• Understand non-relational data concepts and common NoSQL use cases

• Identify Azure services such as Azure Cosmos DB for non-relational data

• Understand analytics and data warehousing workloads in Azure

• Recognize the role of Azure Synapse Analytics, Data Lake, and Power BI

• Apply basic data security, compliance, and governance concepts in Azure

• Understand cost management and support options for Azure data services

• Demonstrate readiness for the DP-900 Azure Data Fundamentals certification

This course prepares learners for entry-level and foundational roles that work with data concepts and Azure data services. After completing the training, learners will be better prepared for positions such as:

• Data Analyst (Entry-Level)

• Junior Data Analyst

• Data Associate

• Business Analyst (Data & Analytics)

• Reporting Analyst

• Data Operations Analyst

• Analytics Associate

• Junior Database Support Analyst

• Cloud Data Support Associate

• Azure Data Fundamentals Associate