Microsoft Azure for Data Engineering

LEARNING UNIT 1. INTRODUCTION TO CLOUD SYSTEMS ADMINISTRATION What is cloud computing? Benefits of cloud computing for systems administration Key concepts in Microsoft cloud systems administration LEARNING UNIT 2. FUNDAMENTALS OF MICROSOFT AZURE Overview of Microsoft Azure Key Azure services Deployment models in Azure Creating an Azure account and subscription LEARNING UNIT 3. DEPLOYING AND MANAGING VIRTUAL MACHINES IN AZURE Creating and configuring virtual machines in Azure Managing and monitoring virtual machines Scalability and availability of virtual machines in Azure LEARNING UNIT 4. STORAGE MANAGEMENT IN AZURE Types of storage in Azure Creating and configuring storage accounts Managing data replication and security in Azure LEARNING UNIT 5. IMPLEMENTING AND MANAGING NETWORKS IN AZURE Concepts of virtual networks in Azure Creating and configuring virtual networks Implementing subnets, network security groups, and load balancers Configuring hybrid connectivity with Azure MODULE 6. ENTITY MANAGEMENT AND ACCESS TO AZURE Identity services in Azure Creating and managing user accounts and groups in Azure Active Directory Implementing authentication and authorization in Azure Using access policies and resource control in Azure LEARNING UNIT 7. MONITORING AND MANAGING RESOURCES IN AZURE Monitoring tools and services in Azure Configuring monitoring and logging in Azure Management and troubleshooting in Azure Using Azure Automation and Azure Logic Apps to automate tasks LEARNING UNIT 8. INTRODUCTION TO AZURE FOR DATA ANALYTICS What is cloud data analytics? Why use Microsoft Azure for data analytics? Key Azure Services for Data Analytics Data Analytics Use Cases in Azure Introduction to the Azure Architecture for Data Analytics LEARNING UNIT 9. DATA STORAGE IN AZURE Azure Blob Storage: Storage for unstructured data Azure Data Lake Storage: Storage for large volumes of raw data Azure SQL Database: Storage for relational data Azure Cosmos DB: Storage for NoSQL data Comparison of Data Storage Options in Azure LEARNING UNIT 10. DATA PROCESSING AND ANALYSIS IN AZURE Azure Databricks: Large-Scale Data Processing with Apache Spark Azure Stream Analytics: Real-Time Data Processing Azure Data Factory: Orchestration of data workflows Azure Functions: Creating serverless functions for data processing Choosing the right data processing tool in Azure Azure Machine Learning: Creating and training machine learning models Azure Cognitive Services: AI-powered text, speech, and image analysis Power BI: Interactive data visualization and analysis Azure Data Studio: Development environment for data analysis Third-party tools for data analysis in Azure LEARNING UNIT 11. DEPLOYING AND MANAGING DATA ANALYTICS SOLUTIONS IN AZURE Data security and governance in Azure Monitoring and optimizing the performance of data analytics solutions Deploying data analytics solutions to production Best practices for data analytics in Azure Additional learning resources