Description

Introduction of Microsoft Azure Data Fundamentals

Microsoft Azure Data Fundamentals is an introductory course designed to provide learners with foundational knowledge of cloud data services, data concepts, and the core capabilities offered by Microsoft Azure. As businesses increasingly rely on cloud solutions to manage data, understanding the basics of Azure data services becomes essential for both IT professionals and beginners in the cloud domain. This course covers the key principles of cloud data storage, relational and non-relational databases, data security, and analytics, enabling learners to understand how data is stored, managed, and analyzed in Azure. By the end of the course, participants will have the skills necessary to work with Azure’s data services and lay the groundwork for more advanced cloud and data engineering roles.

Prerequisites

• Basic understanding of IT concepts
• Familiarity with general database concepts
• No prior experience with Microsoft Azure required
• Basic knowledge of relational and non-relational data models
• A willingness to explore cloud-based technologies

Table of Contents

1. Introduction to Cloud Computing and Microsoft Azure
   1.1 What is Cloud Computing?
   1.2 Microsoft Azure Overview and Services
   1.3 Types of Cloud Deployment Models: Public, Private, Hybrid
   1.4 Core Azure Services for Data
2. Core Data Concepts and Services
   2.1 Types of Data Storage: Structured, Semi-Structured, Unstructured
   2.2 Relational vs. Non-Relational Databases
   2.3 Key Azure Data Services
   2.4 Introduction to Azure Blob Storage, Files, and Tables
3. Relational Databases in Azure
   3.1 Introduction to Azure SQL Database
   3.2 Working with Azure SQL Databases and Managed Instances
   3.3 Database Design and Normalization
   3.4 Backup, Restore, and Monitoring in Azure SQL
4. Non-Relational Databases in Azure
   4.1 Introduction to Azure Cosmos DB
   4.2 Working with NoSQL Data in Azure
   4.3 Choosing Between Relational and Non-Relational Storage
   4.4 Scaling and Securing Non-Relational Databases
5. Azure Data Warehousing
   5.1 Introduction to Azure Synapse Analytics
   5.2 Data Lake and Data Warehouse Integration
   5.3 ETL (Extract, Transform, Load) Concepts and Azure Data Factory
   5.4 Performance and Scalability in Data Warehousing
6. Azure Analytics Services
   6.1 Overview of Azure Data Lake Storage(Ref: Artificial Intelligence and Machine Learning with NLP)
   6.2 Azure Databricks for Big Data Analytics
   6.3 Introduction to Azure HDInsight
   6.4 Azure Stream Analytics and Real-Time Data Processing
7. Data Security and Compliance in Azure
   7.1 Understanding Azure Security Fundamentals
   7.2 Implementing Data Security with Azure Encryption
   7.3 Managing Data Access with Azure Active Directory
   7.4 Ensuring Compliance and Data Governance
8. Azure AI and Machine Learning Services
   8.1 Introduction to Azure AI and Machine Learning
   8.2 Working with Azure Machine Learning Studio
   8.3 Building Data Models in Azure AI
   8.4 Integrating AI into Data Solutions
9. Data Integration and Automation in Azure
   9.1 Using Azure Data Factory for Data Movement
   9.2 Automation with Logic Apps and Power Automate
   9.3 Integration with On-Premises Data Systems
   9.4 Monitoring and Troubleshooting Azure Data Services
10. Preparing for Azure Data Fundamentals Exam
    10.1 Exam Overview and Requirements
    10.2 Key Topics to Review for the Exam
    10.3 Tips and Strategies for Success
    10.4 Practice Questions and Mock Exam

Conclusion

Upon completion of this course, learners will have a solid understanding of how to use Microsoft Azure’s data services to store, manage, analyze, and secure data. This foundational knowledge is essential for anyone looking to pursue more advanced Azure certifications or data-related roles. With this course, you will be well-prepared to understand core cloud data concepts and begin working with Azure’s data technologies, empowering you to take the next steps in your cloud and data career.

Reference