DP-900T00 : Microsoft Azure Data Fundamentals
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.
Duration :
Classroom |
Live Online |
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.
· MODULE Explore core data concepts
· MODULE Explore data roles and services
· MODULE Explore fundamental relational data concepts
· MODULE Explore relational database services in Azure
· MODULE Explore Azure Storage for non-relational data
· MODULE Explore fundamentals of Azure Cosmos DB
· MODULE Explore fundamentals of large-scale data warehousing
· MODULE Explore fundamentals of real-time analytics
· MODULE Explore fundamentals of data visualization
Microsoft Certified Azure Data Fundamentals
Candidates for the Azure Data Fundamentals certification should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. This certification is intended for candidates beginning to work with data in the cloud.
Required Exam : DP-900
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.
Location | Date | Time (UTC+2 ) | Delivery Format | Language |
---|---|---|---|---|
Live Online* | 1,4-Oct | Tue,Fri 17:30-21:30 | Instructor Led | Greek |
* Σύγχρονη εξ αποστάσεως εκπαίδευση με εισηγητή – Virtual Class
Last Updated : 27/12/2023 (DP-900T00-A)