DP-900: Microsoft Azure Data Fundamentals

€295.00
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Course Description: DP-900: Microsoft Azure Data Fundamentals

In this course, students will gain fundamental knowledge of data fundamentals and related data services in Microsoft Azure. 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 relational data fundamentals and relational database services in Azure. They will explore Azure storage for non-relational data and Azure Cosmos DB fundamentals. Students will learn about large-scale data storage, real-time analytics, and data visualization.

The course includes the certification exam as a gift opportunity! *Promotion valid until February 28th only for clients from Spain

Course duration


Audience Profile

The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, gain basic skills in cloud data services, and develop their fundamental knowledge of cloud data services within Microsoft Azure.


Items in this collection

  • Exploring Primary Data Concepts (8 Units)
  • Exploring Roles and Data Services (5 Units)
  • Exploring Fundamental Relational Data Concepts (7 Units)
  • Exploring relational database services in Azure (6 Units)
  • Exploring Azure Storage for Non-Relational Data (8 Units)
  • Exploring Azure Cosmos DB Fundamentals (6 Units)
  • Exploring the Fundamentals of Large-Scale Data Storage (7 Units)
  • Exploring the Fundamentals of Real-Time Analytics (11 Units)
  • Exploring the Basics of Data Visualization (7 Units)


Prerequisites

No prerequisite certification is required to take this course. Successful Azure Data Fundamentals students begin with some basic knowledge of computer science and internet concepts and have an interest in extracting insights from data.

Specifically:

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


Language

  • Course: English / Spanish
  • Labs: English / Spanish

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