DP-900: Microsoft Azure Data Fundamentals

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About Course

Course Overview

The Microsoft Azure DP-900: Azure Data Fundamentals course introduces learners to the core concepts of data and analytics within the Azure ecosystem.

It is designed for non-technical and early-stage technical professionals who want to understand how data is stored, processed, and analyzed using modern cloud technologies.

The course focuses on foundational knowledge across:

  • 📦 Relational data (SQL-based systems)
  • 🧊 Non-relational data (NoSQL, files, blobs)
  • ⚙️ Data processing (batch and streaming)
  • 📊 Analytics and visualization
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Course Content

Module 1: Describe Core Data Concepts (15–20%)
Focus: Foundational understanding of data types and structures 🔍 Topics Covered: Types of data: Structured Semi-structured Unstructured Transactional vs analytical workloads Data processing types: Batch processing Stream processing 🎯 Outcome: 👉 Understand how data is generated, categorized, and processed

Module 2: Describe Relational Data in Azure (25–30%)
Focus: Traditional database systems 🔍 Topics Covered: Tables, rows, columns, schemas Keys and relationships SQL querying basics Azure services: Azure SQL Database Azure Database for PostgreSQL Azure Database for MySQL 🎯 Outcome: 👉 Understand how structured data is stored and queried using SQL

Module 3: Describe Non-Relational Data in Azure (25–30%)
Focus: Modern, flexible data storage 🔍 Topics Covered: NoSQL concepts Key-value stores Document databases Graph databases Azure services: Azure Cosmos DB Azure Blob Storage Azure Table Storage 🎯 Outcome: 👉 Understand how unstructured and semi-structured data is managed at scale

Module 4: Describe Analytics Workloads in Azure (25–30%)
Focus: Turning data into insights 🔍 Topics Covered: Data Warehousing concepts Data Lakes ETL vs ELT Real-time analytics Visualization tools: Microsoft Power BI Azure Services: Azure Synapse Analytics Azure Data Factory Azure Stream Analytics 🎯 Outcome: 👉 Understand how data is transformed into actionable insights

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