Learn how to clean up RDS- and AWS Glue-related resources so as not to incur unexpected charges.
- [Instructor] Now that we've completed the join demo,…we can tear down the resources we created in AWS Glue.…Because the compute resources that Glue creates are behind…the scenes and not pre-provisioned,…there's nothing we explicitly need to tear down.…Glue stands up to resources it needs while your job runs…and that's all, but we can clean up after ourselves.…Let's start with tables.…I'm here in the table section,…and I can delete these tables one-by-one.…But a faster way to this is actually…to go to the database level and delete…the metadata repository that holds them all.…
I'll choose this first one, go to action, and click Delete.…Doing the same for the other two.…Once I'm done we can see that all…the table definitions will be gone.…Likewise, we can delete the connection…to the MySQL demo connection.…Go up to action and choose delete connection.…The crawlers can go away as well.…Finally we move on to the jobs.…They can be deleted in the same way.…
At this point we can exit Glue…and go to the main AWS console.…
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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