DP-900T00 Microsoft Azure Data Fundamentals

Price
$99.00
Duration
 1 Day
Delivery Methods
 VILT    Private Group
 

This class includes a free Microsoft exam voucher.

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 modern data warehousing, real-time analytics, and data visualization.

 

Upcoming Class Dates and Times

Dec 19, 2022
8:00AM - 4:00PM Central
1 Day
Virtual Instructor Led
 GTR
Feb 06, 2023
8:00AM - 4:00PM Central
1 Day
Virtual Instructor Led
 GTR
Mar 27, 2023
8:00AM - 4:00PM Central
1 Day
Virtual Instructor Led
 GTR
May 15, 2023
8:00AM - 4:00PM Central
1 Day
Virtual Instructor Led
 GTR
Jun 19, 2023
8:00AM - 4:00PM Central
1 Day
Virtual Instructor Led
 GTR

Who Should Attend

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.

Course Objectives

  • Describe core data concepts
  • Identify considerations for relational data on Azure
  • Describe considerations for working with non-relational data on Azure
  • Describe an analytics workload on Azure

Agenda

1 - Explore core data concepts
  • Core data concepts
  • Data roles and Services
2 - Explore fundamentals of relational data in Azure
  • Explore relational data offerings in Azure
  • Explore Azure services for relational data
3 - Explore fundamentals of non-relational data in Azure
  • Fundamentals of Azure Storage
  • Fundamentals of Azure Cosmos DB
4 - Explore fundamentals of data analytics
  • Large-scale data warehousing
  • Streaming and real-time analytics
  • Data visualization
 

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