Requirements

• No prior knowledge of databases or cloud computing is required. A basic understanding of IT concepts will be helpful but not mandatory. Access to a computer with an internet connection to work with Azure tools.

Description

Introduction

The DP-900: Microsoft Azure Data Fundamentals Certification course is your gateway to understanding core data concepts and their application in Microsoft Azure. Whether you're new to cloud data or preparing for the DP-900 exam, this course provides an in-depth overview of relational and non-relational databases, modern data warehousing, and data visualization using Azure tools. Through practical demos and engaging lectures, students will develop essential skills to manage and analyze data effectively in Azure.

Section 1: Introduction

Kickstart your learning journey with an introduction to the course, where you'll gain a clear understanding of its structure, objectives, and the requirements for the DP-900 exam. This section sets the foundation for exploring data concepts in Azure.

Section 2: Core Concepts

In this section, students delve into the fundamentals of data representation, storage options, and common workloads. It also emphasizes the roles and responsibilities associated with managing data workloads, equipping students with the knowledge to identify key data use cases.

Section 3: Relational Database Concepts

Explore the core principles of relational databases, including normalization, relational data features, and SQL operations. Hands-on demos demonstrate how to create a database, views, stored procedures, and indexes, offering practical skills essential for relational database management.

Section 4: Relational Azure Data Services

This section introduces Azure's relational database options. Students will gain insights into how these services support structured data and learn to choose the appropriate service for specific workloads.

Section 5: Relational Databases on Azure

Discover how to create, manage, and secure Azure SQL Databases using ARM templates and relational query tools. This section focuses on security best practices and tools to streamline database operations in Azure.

Section 6: Non-Relational Database Concepts

Non-relational databases are critical for handling unstructured or semi-structured data. Students will explore different types of NoSQL databases and learn about Azure's non-relational database offerings.

Section 7: Managing Non-Relational Databases

This section provides hands-on training in creating, querying, and managing Cosmos DB, one of Azure's key non-relational databases. Topics include security, geo-replication, and ARM template integration for efficient management.

Section 8: Data Visualization

Learn how to transform raw data into actionable insights through data visualization tools like Azure Data Factory and Power BI. This section covers modern data warehousing techniques and the Power BI content workflow for creating compelling dashboards.

Section 9: Conclusion

The course concludes with a summary of the key takeaways, ensuring students feel confident in their knowledge and skills. Final insights prepare them to ace the DP-900 exam and apply their learning in real-world scenarios.

By the end of this course, students will have a solid understanding of data fundamentals and Azure data services. They will be prepared to take the DP-900 certification exam and start their journey toward becoming proficient in managing data in the Azure ecosystem.

Who this course is for:

• "Beginners interested in learning about data and cloud computing. IT professionals looking to explore Azures data services. Students preparing for the DP-900: Microsoft Azure Data Fundamentals Certification. Data enthusiasts seeking foundational knowledge of relational and non-relational databases."