Join Brandon Rich for an in-depth discussion in this video AWS Glacier and S3 lifecycle rules, part of AWS: Storage and Data Management.
- [Instructor] AWS Glacier is Amazon's … long-term data archiving solution. … It is designed to store vast quantities of data … as reliably and cheaply as possible. … As of this recording, AWS advertises rates … of as little as 4/10 of a cent per gigabyte, per month. … There's literally no limit … to the amount of data you can store, … and a single archive file … can be up to 40 terabytes in size. … Let's get a few terms out of the way. … In Glacier, you work with vaults. … Vaults are roughly equivalent to a bucket in S3. … They're the highest-level container … into which you insert data and to which you apply policies. … The data files within a vault are referred to as archives. … More or less equivalent to objects in an S3 bucket. … Like S3, Glacier promises … an average annual durability of 11 nines. … When your data appears as saved in Glacier, … it has already been replicated across multiple locations … in Amazon's AWS data centers. … In addition, data in Glacier is encrypted by default, …
Join AWS architect Brandon Rich and learn how to configure object storage solutions and lifecycle management in Simple Storage Service (S3), a web service offered by AWS, and migrate, back up, and replicate relational data in RDS. Find out how to leverage flexible network storage with Elastic File System (EFS), and use the new AWS Glue service to move and transform data. Plus, learn how Snowball can help you transfer truckloads of data in and out of the cloud.
- What is data management?
- AWS S3 basics
- S3 bucket creation
- S3 upload and logging
- S3 event notifications
- S3 data lifecycle configuration
- Working with Amazon Elastic Block Store volumes
- Creating and mounting an EFS
- Creating an AWS RDS instance
- RDS backup and recovery
- Moving data with AWS Database Migration Service
- Moving data with Data Pipeline and Glue
Skill Level Intermediate
2. Object Storage
3. File Systems
4. Database Services
5. Getting Data to AWS
6. Moving Data in AWS
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