DP-900T00: Microsoft Azure Data Fundamentals

DP-900T00

Overview

About the course

In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services.

Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure.

Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB.

Students will learn about large-scale data warehousing, real-time analytics, and data visualization.

Audience Profile

The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.

Job role: Data Engineer

Preparation for exam: DP-900

Course Details

  • Course Ref: DP-900T00
  • Course Duration: 1 day
  • Course Location: Virtual Classroom
  • Course Dates: 2 May 2025
  • Course Price: £895+VAT
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Modules

  • Explore core data concepts
  • Explore data roles and services
  • Explore fundamental relational data concepts
  • Explore relational database services in Azure
  • Explore Azure Storage for non-relational data
  • Explore fundamentals of Azure Cosmos DB
  • Explore fundamentals of large-scale data warehousing
  • Explore fundamentals of real-time analytics
  • Explore fundamentals of data visualization

Prerequisites

Prerequisite certification is not required before taking this course. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data.

Specifically:

  • Experience using a web browser, such as Microsoft Edge.
  • Familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet and visualizing data using charts.
  • A willingness to learn through hands-on exploration.

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