Description
Course Overview
Organizations today generate vast amounts of knowledge and records, requiring effective storage, retrieval, and management strategies. Azure Archive Storage provides a cost-effective, secure, and scalable solution for archiving and managing data.
This 10-day course will equip participants with the skills to leverage Azure Archive Storage for efficient knowledge and record management. You will learn data classification, security implementation, automation, compliance, and disaster recovery strategies—ensuring long-term accessibility and cost efficiency.
Course Details
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Duration: 10 Days
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Level: Intermediate
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Mode: In-person / Virtual
Who Should Attend?
✔ IT Professionals
✔ Records Managers
✔ Information Managers
✔ Knowledge Workers
✔ Cloud Administrators
✔ Anyone interested in efficient data and knowledge management
Why Attend?
Personal Benefits
✅ Develop expertise in Azure-based knowledge and record management
✅ Improve efficiency in archiving, storing, and retrieving data
✅ Learn hands-on techniques for automation and security
Organizational Benefits
🏢 Ensure compliance with data retention policies
🏢 Improve cost efficiency by optimizing storage tiers
🏢 Enhance knowledge sharing and decision-making
Course Objectives
By the end of this course, participants will be able to:
✔ Understand the importance of knowledge and record management.
✔ Familiarize themselves with Azure Archive Storage and its different tiers.
✔ Configure and manage Azure Storage Accounts for archiving data.
✔ Automate data ingestion using Azure Logic Apps.
✔ Implement security and access controls for stored data.
✔ Design and implement knowledge and record management solutions using Azure.
✔ Effectively archive historical data while optimizing costs.
✔ Apply best practices in monitoring, compliance, and disaster recovery.
✔ Develop a practical knowledge or record management solution with Azure Archive Storage.
Course Outline
📌 Module 1: Introduction to Knowledge and Record Management
🔹 Defining knowledge and record management
🔹 Key differences between knowledge and records
🔹 Business benefits of effective management
🔹 Challenges in data storage and retrieval
📌 Module 2: Azure Archive Storage Overview
🔹 Introduction to Azure Archive Storage
🔹 Understanding Azure storage tiers (Hot, Cool, Archive)
🔹 Use cases for Azure Archive Storage in record management
📌 Module 3: Setting Up Azure Archive Storage
🔹 Creating an Azure account and subscription
🔹 Configuring Azure Storage Accounts
🔹 Understanding container hierarchy and blob storage
🔹 Implementing best practices for setup
📌 Module 4: Data Classification and Retention Policies
🔹 Identifying critical vs. non-critical data
🔹 Defining data classification and tagging
🔹 Implementing legal and compliance retention policies
🔹 Setting up retention policies in Azure
📌 Module 5: Data Ingestion and Automation
🔹 Methods for uploading data to Azure Archive Storage
🔹 Best practices for large-scale data ingestion
🔹 Automating workflows with Azure Logic Apps
🔹 Integrating Power Automate for automation
📌 Module 6: Data Retrieval and Access Control
🔹 Understanding retrieval times and costs
🔹 Configuring role-based access control (RBAC)
🔹 Implementing data encryption and security best practices
🔹 Managing permissions for internal and external users
📌 Module 7: Building Knowledge and Record Management Solutions
🔹 Designing a knowledge management system using Azure
🔹 Creating structured record management workflows
🔹 Integrating AI for smart knowledge retrieval
🔹 Compliance considerations in knowledge management
📌 Module 8: Data Migration and Archiving Strategies
🔹 Best practices for migrating data to Azure Archive Storage
🔹 Strategies for archiving historical data efficiently
🔹 Balancing cost and accessibility in storage solutions
🔹 Using Azure Data Factory for large-scale migration
📌 Module 9: Monitoring, Optimization, and Compliance
🔹 Monitoring Azure Archive Storage performance
🔹 Optimizing costs with Azure Cost Management
🔹 Using Azure Monitor and Security Center for tracking
🔹 Ensuring regulatory compliance with governance tools
📌 Module 10: Data Recovery and Disaster Planning
🔹 Preparing for data loss scenarios
🔹 Disaster recovery strategies with Azure
🔹 Implementing backup and failover solutions
🔹 Testing and validating recovery plans
