DP-900T00: Microsoft Azure Data Fundamentals Course Overview

Learners will be introduced to Azure data services, which can manage a wide range of data processing and analytics requirements, as well as core data concepts in the DP-900T00: Microsoft Azure Data Fundamentals course. It is intended for people who want to start working with cloud-based data. In addition to providing an overview of data analytics, Module 1 establishes the foundation by examining fundamental data concepts, different data roles and responsibilities, and the distinction between relational and non-Relational data. The second module explores Azure’s relational data services, which are essential for managing structured data. It covers relational database provisioning, deployment, and querying. The third module focuses on Azure’s non-relational data offerings, showing how to provision, deploy, and manage these stores to meet scalable and flexible data storage requirements. In conclusion, Module 4 provides an overview of contemporary data warehouse analytics, encompassing data intake, storage, Azure processing, and Power BI visualization. People who want to learn about analytics and data concepts, as well as those who want to use Microsoft Azure services to implement data solutions, will find this course useful. It gets students ready for the DP-900 certification test, which can help them advance their careers in analytics and data.

Course Prerequisites

In order for you to benefit the most from the DP-900T00: Microsoft Azure Data Fundamentals course, we advise that you meet the following minimal requirements:

• A fundamental comprehension of the creation, storing, and processing of data as well as key data concepts.
• Knowledge of relational databases’ principles and operations.
• Some familiarity with analytics and data processing principles.
• Although not required, having a basic understanding of cloud services, especially Microsoft Azure, is advantageous.
• Eagerness to learn about relational and non-relational data offerings from Azure, as well as cutting-edge data warehouse analytics.

Target Audience for DP-900T00: Microsoft Azure Data Fundamentals

• Novices who want to learn about Azure data services and data concepts
• IT specialists who want to learn more about Azure’s data solutions
• Data analysts interested in learning about Azure’s data processing and storage
• Database managers who want to investigate relational and non-relational databases on Azure
• Data scientists who need to know about Azure’s data services in order to perform analytics
• Developers whose apps require the integration of Azure data services
• Professionals in business intelligence who want to use Azure for analytics and data warehousing
• Teachers and students looking to gain a basic understanding of cloud data services
• Technical managers seeking a summary of Azure’s data offerings in order to make wise choices
• Working individuals getting ready for the Microsoft Azure Data Fundamentals certification test

Learning Objectives – What you will Learn in this DP-900T00: Microsoft Azure Data Fundamentals?

Introduction to DP-900T00: Microsoft Azure Data Fundamentals Course Learning Outcomes:

Learn the fundamentals of key data concepts, Azure data services, and the roles that each play in the data landscape. This will prepare you to delve deeper into Azure’s database offerings.

Learning Objectives and Outcomes:

• Recognize the fundamental ideas and principles underlying data, including its storage, processing, and analytics.
• Acknowledge the different roles and responsibilities in data-related fields and the ways in which they support data governance and management.
• Explain the features of databases and relational data, as well as their importance in the data world.
• Learn how to provision and deploy Azure’s relational data services, such as Azure SQL Database and Azure Synapse Analytics.
• Gain proficiency in querying relational data with the Azure ecosystem’s tools.
• Understand the distinctions between relational and non-relational data, as well as the appropriate applications for each.
• Examine Azure’s non-relational data products, like Azure Cosmos DB, and gain expertise in handling these services.
• Recognize how to scale and monitor Azure’s non-relational data stores as well as manage and maintain them.
• Analyze a contemporary data warehouse’s architecture, parts, and integration with Azure services.
• Learn the basics of using Power BI for insights and data visualization as a foundation for work involving more complex data analytics.