COURSE DESCRIPTION
Welcome to the Amazon Glacier course! Amazon S3 Glacier is a secure, durable, and extremely low-cost cloud storage service for data archiving and long-term backup. Designed for infrequent data access, Glacier provides a cost-effective solution for retaining data for extended periods. Whether you’re an IT professional, data engineer, or anyone responsible for data management, understanding Amazon Glacier will empower you to effectively manage your data archiving and compliance requirements on AWS.
In this course, you will learn how to utilize Amazon Glacier to store and retrieve data efficiently, explore its various retrieval options, understand cost management strategies, and implement best practices for securing your archived data. This course is ideal for those looking to optimize their cloud storage strategy by leveraging Amazon Glacier’s low-cost, long-term data storage solutions.
Course Objectives:
- Introduction to Amazon S3 Glacier
- Understanding Glacier Storage Classes: S3 Glacier and S3 Glacier Deep Archive
- Setting Up and Managing Glacier Archives
- Data Retrieval Options: Expedited, Standard, and Bulk Retrievals
- Cost Management and Pricing Models for Glacier
- Securing Data with Encryption and Access Controls
- Integrating Glacier with AWS Backup and Data Management Tools
- Monitoring and Auditing Glacier Activities
- Best Practices for Data Retention and Compliance
- Real-World Use Cases for Amazon Glacier
Requirements
- Basic knowledge of AWS services and cloud storage concepts
- Familiarity with the AWS Management Console
- Understanding of data archiving and backup strategies is beneficial
Features
- Detailed explanations of Glacier's storage classes and retrieval options
- Hands-on exercises to set up and manage Glacier archives
- Cost management strategies for long-term data retention
- Best practices for securing and encrypting archived data
- Real-world examples and case studies
Target audiences
- IT administrators and managers
- Cloud architects and engineers
- Backup and disaster recovery professionals
- Data engineers and scientists
- Compliance and data governance professionals