In today’s digital age, data management and analysis have become essential skills for driving informed business decisions. Microsoft Azure for Data Engineering offers you the chance to immerse yourself in the world of cloud computing with a practical focus on the industry-leading Azure platform. This course will equip you to manage cloud systems and master the data storage and analysis. Demand for professionals with expertise in Azure is booming thanks to its ability to transform data into strategic insight. By choosing this course, you’ll gain access to comprehensive training that will enable you to excel in a competitive labour market and constantly evolving.
Sector-specific
Big Data and Business Intelligence Development
30 hours
Microsoft Azure for Data Engineering
Big Data and Business Intelligence Development
30 hours
Introduction
Objectives
- To understand the benefits of cloud computing for systems administration.
- To familiarise yourself with the main services and deployment models of Microsoft Azure.
- Learn how to create and manage virtual machines in Azure efficiently.
- Configure and manage storage in Azure, ensuring data security.
- Implement and manage virtual networks in Azure to optimise connectivity.
- Manage identities and access in Azure, ensuring control over resources.
- Use monitoring tools in Azure to resolve issues proactively.
Table of Contents
TEACHING 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
TEACHING UNIT 2. FUNDAMENTALS OF MICROSOFT AZURE
Overview of Microsoft Azure
Key Azure services
Deployment models in Azure
Creating an Azure account and subscription
TEACHING UNIT 3. DEPLOYMENT AND MANAGEMENT OF VIRTUAL MACHINES IN AZURE
Creating and configuring virtual machines in Azure
Management and monitoring of virtual machines
Scalability and availability of virtual machines in Azure
TEACHING UNIT 4. STORAGE MANAGEMENT IN AZURE
Types of storage in Azure
Creating and configuring storage accounts
Replication management and data security in Azure
TEACHING UNIT 5. IMPLEMENTATION AND MANAGEMENT OF NETWORKS IN AZURE
Virtual network concepts in Azure
Creating and configuring virtual networks
Implementation of subnets, network security groups and load balancers
Configuring hybrid connectivity with Azure
TEACHING UNIT 6. ORGANISATION MANAGEMENT AND ACCESS TO AZURE
Identity services in Azure
Creating and managing user accounts and groups in Azure Active Directory
Implementing authentication and authorisation in Azure
Using access and resource control policies in Azure
TEACHING UNIT 7. MONITORING AND MANAGING RESOURCES IN AZURE
Monitoring tools and services in Azure
Configuring monitoring and logging in Azure
Azure management and troubleshooting
Using Azure Automation and Azure Logic Apps to automate tasks
TEACHING UNIT 8. INTRODUCTION TO AZURE FOR DATA ANALYSIS
What is cloud-based data analysis?
Why use Microsoft Azure for data analysis?
Key Azure services for data analytics
Use cases for data analytics in Azure
Introduction to the Azure architecture for data analytics
TEACHING 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: Relational data storage
Azure Cosmos DB: NoSQL data storage
Comparison of data storage options in Azure
TEACHING 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: Orchestrating 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 visualisation and analysis
Azure Data Studio: A development environment for data analysis
Third-party tools for data analysis in Azure
TEACHING UNIT 11. IMPLEMENTATION AND MANAGEMENT OF DATA ANALYTICS SOLUTIONS IN AZURE
Data security and governance in Azure
Monitoring and optimising the performance of data analytics solutions
Implementation of data analytics solutions in production
Best practices for data analysis in Azure
Additional learning resources
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