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DP-900: Microsoft Azure Data Fundamentals

Gain foundational knowledge of core data concepts, relational and non-relational data, and analytics workloads within Microsoft Azure's data services.

DP-900: Microsoft Azure Data Fundamentals Certification & Training

Emigo Networks offers expert-led training for the DP-900: Microsoft Azure Data Fundamentals course, designed to build your foundational knowledge of core data concepts and Azure data services. This course helps learners understand relational and non-relational data, analytics workloads, and the roles and responsibilities in data solutions. Whether you are new to cloud data or planning to pursue a career in data engineering, this course is a perfect starting point.

Course Overview

The DP-900: Microsoft Azure Data Fundamentals course provides foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. It introduces learners to relational and non-relational data, modern data warehousing, and data analytics. Through this course, participants gain insight into roles such as data engineers and data analysts, and learn to work with data in the cloud. The course is ideal for those looking to begin a career in Azure-based data solutions or prepare for further certification.

What You'll Learn

  • Core data principles such as relational, non-relational, and big data.
  • Fundamental concepts of relational data in Azure (e.g., Azure SQL Database).
  • Basics of non-relational data using services like Azure Cosmos DB.
  • Modern data warehousing and analytics using Azure Synapse Analytics and Power BI.
  • Foundational knowledge for exploring data roles such as data engineer, data scientist, and data analyst.

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Syllabus Summary

Describe core data concepts (25–30%)

a. Describe ways to represent data

  • Describe features of structured data
  • Describe features of semi-structured
  • Describe features of unstructured data

b. Identify options for data storage

  • Describe common formats for data files
  • Describe types of databases

c. Describe common data workloads

  • Describe features of transactional workloads
  • Describe features of analytical workloads

d. Identify roles and responsibilities for data workloads

  • Describe responsibilities for database administrators
  • Describe responsibilities for data engineers
  • Describe responsibilities for data analysts
Identify considerations for relational data on Azure (20–25%)

a. Describe relational concepts

  • Identify features of relational data
  • Describe normalization and why it is used
  • Identify common structured query language (SQL) statements
  • Identify common database objects

b. Describe relational Azure data services

  • Describe the Azure SQL family of products including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines
  • Identify Azure database services for open-source database systems
Describe considerations for working with non-relational data on Azure (15–20%)

a. Describe capabilities of Azure storage

  • Describe Azure Blob storage
  • Describe Azure File storage
  • Describe Azure Table storage

b. Describe capabilities and features of Azure Cosmos DB

  • Identify use cases for Azure Cosmos DB
  • Describe Azure Cosmos DB APIs
Describe an analytics workload (25–30%)

a. Describe common elements of large-scale analytics

  • Describe considerations for data ingestion and processing
  • Describe options for analytical data stores
  • Describe Microsoft cloud services for large-scale analytics, including Azure Databricks and Microsoft Fabric

b. Describe consideration for real-time data analytics

  • Describe the difference between batch and streaming data
  • Identify Microsoft cloud services for real-time analytics

c. Describe data visualization in Microsoft Power BI

  • Identify capabilities of Power BI
  • Describe features of data models in Power BI
  • Identify appropriate visualizations for data

Pre-requisites

  • No prior technical experience is required; this is an entry-level certification.
  • Basic familiarity with core data concepts such as tables, rows, and columns is helpful.
  • An interest in learning about cloud-based data solutions using Microsoft Azure.
  • Optional but beneficial: General understanding of Microsoft Azure fundamentals or cloud computing concepts.

Required Exams

  • Exam Codes: DP-900: Microsoft Azure Data Fundamentals
  • Length: 45 minutes
  • Registration fee: $99 USD (+taxes applicable)

Who Should Attend

  • Individuals new to the cloud and data concepts who want to build foundational knowledge in Microsoft Azure Data services.
  • Business decision-makers, students, and IT professionals exploring a career in data-related roles.
  • Professionals aiming to validate their understanding of core data services and gain insights into Azure-based data solutions.
  • Those preparing to pursue role-based Azure certifications such as Azure Data Engineer or Azure Database Administrator.

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