Microsoft Azure Data Fundamentals (DP-900)

Category ID Duration Level Price
Azure 13783 1 Day(s) Foundation $695.00

Microsoft Azure Data Fundamentals (DP-900)

Live, Online Class Schedule

Delivery Format Date Time Register
Live Online 05/31/2024 - 05/31/2024 10:00 AM - 4:45 PM EST Register
Live Online 06/28/2024 - 06/28/2024 10:00 AM - 4:45 PM EST Register
Live Online 07/26/2024 - 07/26/2024 10:00 AM - 4:45 PM EST Register
Live Online 08/23/2024 - 08/23/2024 10:00 AM - 4:45 PM EST Register
Live Online 09/20/2024 - 09/20/2024 10:00 AM - 4:45 PM EST Register
Live Online 10/18/2024 - 10/18/2024 10:00 AM - 4:45 PM EST Register

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Microsoft Azure Data Fundamentals (DP-900)

Course Overview

In this course, you will gain foundational knowledge of core data concepts and related Microsoft Azure data services. You will learn about core data concepts such as relational, non-relational, big data, and analytics, and build your foundational knowledge of cloud data services within Microsoft Azure. You 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. You will learn about modern data warehousing, real-time analytics, and data visualization.

This course will prepare you for the following exam: DP-900: Azure Data Fundamentals

Microsoft Azure Data Fundamentals (DP-900)

Course Objectives

After successfully completing the Microsoft Azure Data Fundamentals (DP-900) course, you will be able to:
• Describe core data concepts in Azure
• Explain concepts of relational data in Azure
• Explain concepts of non-relational data in Azure
• Identify components of a modern data warehouse in Azure

DP-900: Azure Data Fundamentals

Course 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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