DP-900: Microsoft Azure Data Fundamentals

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The Syllabus

Curriculum Designed by Experts

Module 1: Introduction to Data and Microsoft Azure (2 Hours)

Understanding structured, semi-structured, and unstructured data
Differences between transactional (OLTP) and analytical (OLAP) workloads
Overview of Azure Data Services
Role of Database Administrators, Data Engineers, and Data Analysts

Module 2: Relational Data in Azure (4 Hours, 20-25%)

Introduction to Relational Databases
o SQL concepts: Tables, Normalization, Joins, Indexing
o Understanding ACID properties
Azure Relational Database Services
o Azure SQL Database
o Azure SQL Managed Instance
o SQL Server on Azure VMs
o Azure Database for MySQL, PostgreSQL, and MariaDB
Working with SQL on Azure
o Running queries on Azure SQL Database
o Performing CRUD operations with SQL

Module 3: Non-Relational Data in Azure (3 Hours, 15-20%)

Introduction to NoSQL & Non-Relational Databases
o Key-value, document, column-family, and graph databases
o Comparing relational and non-relational databases
Azure Non-Relational Storage Options
o Azure Blob Storage (for unstructured data)
o Azure Table Storage (key-value store)
o Azure Cosmos DB (multi-model NoSQL database)
Hands-on: Working with Cosmos DB
o Understanding APIs: SQL, MongoDB, Cassandra, Table, and Gremlin
o CRUD operations with Cosmos DB

Module 4: Data Analytics and Processing in Azure (4 Hours, 25-30%)

Azure Data Analytics Services Overview
o Azure Synapse Analytics (Data Warehouse)
o Azure Data Lake Storage (ADLS)
o Azure Data Factory (ADF) for ETL/ELT
o Azure Databricks (Big Data Processing)
Real-time Data Analytics
o Azure Stream Analytics vs. Batch Processing
o Basics of Event Hubs and IoT Hub
Hands-on: Using Azure Synapse Studio for Queries

Module 5: Data Visualization with Power BI (3 Hours, 25-30%)

Introduction to Power BI
o Key components: Power BI Desktop, Service, and Mobile App
o Understanding data models in Power BI
Data Visualization Best Practices
o Choosing the right chart types
o Creating interactive dashboards
Hands-on: Building a Power BI Report

Module 6: Exam Preparation and Practice (2 Hours)

Review of Key Concepts
Exam Question Format & Sample Questions
Mock Test & Discussion

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