DP-900 Microsoft Azure Data Fundamentals

Start your journey into cloud-based data solutions with DP-900: Microsoft Azure Data Fundamentals. This instructor-led, hands-on course is designed to give you a solid foundation in core data concepts and how they are implemented using Microsoft Azure data services.

Explore relational and non-relational data, gain familiarity with modern analytics workloads, and understand how Azure enables scalable, secure, and cost-effective cloud data solutions. This course prepares you to confidently evaluate and work with Azure SQL Database, Azure Cosmos DB, Azure Synapse Analytics, and other platform services designed for intelligent data-driven decision-making.

This class is 40% to 50% hands-on, offering guided labs and exercises to apply real-world skills in Microsoft Azure.

Target Audience:

This course is ideal for:

• Individuals exploring cloud-based data technologies and services

• Professionals seeking a foundational understanding of Azure data platforms

• Business users, students, and entry-level technologists considering a data career

• Candidates preparing for the Microsoft Certified: Azure Data Fundamentals certification

Prerequisites:
No prior technical experience is required, but a general understanding of basic data concepts is helpful.

Course Outline:

Module 1: Explore Core Data Concepts

• Understand data types: relational, non-relational, big data, and analytics

• Identify use cases for transactional and analytical processing

• Learn the difference between structured, semi-structured, and unstructured data

Module 2: Explore Relational Data in Azure

• Introduction to Azure SQL Database and Azure Database for PostgreSQL

• Understand provisioning, querying, and scalability features of relational databases

• Explore basic data modeling, normalization, and indexing concepts in Azure

Module 3: Explore Non-Relational Data in Azure

• Learn about key/value, document, graph, and column-family data models

• Introduction to Azure Cosmos DB and its multi-model capabilities

• Evaluate scenarios for NoSQL databases in modern applications

Module 4: Explore Modern Data Warehouse Analytics in Azure

• Understand components of a modern data warehouse using Azure Synapse Analytics

• Explore Azure Data Lake, data pipelines, and real-time analytics use cases

• Review integration with Power BI for business intelligence and reporting

Module 5: Explore Data Roles and Responsibilities

• Understand the roles of Data Engineers, Data Scientists, and Database Administrators

• Explore how data professionals collaborate in Azure environments

• Identify career paths and skills needed for various data-related roles

Delivery Format:

• Agent-led, instructor-delivered training with live demos

• 40% to 50% hands-on with guided labs using Azure tools

• Designed for foundational learning, certification prep, and practical insight