Explore the concept of how organizations manage data.
- [Instructor] Your business or organization both depends on and generates data. Product orders, government records, student transcripts, emails, project documents, even chat logs. Though it's no longer paper, that data we create still piles up, and quickly. Causing genuine risk for organizations whose operations depend on their data. How do we make sure that we can access the data we need when we need it? While at the same time minimizing storage and maintenance costs. That effort is called data lifecycle management. The act of devising and implementing policies to control data as it flows through your organization.
What is the data lifecycle? Well there are a number of definitions out there, but in short it's a bit like the water cycle. Data progresses from inception to active usage, to archive, and from there either deleted for good or back into active usage. So when we talk about data lifecycle management what we mean is enacting policies to migrate data to different tiers of storage as it progresses through the lifecycle. As your data goes from frequent to rarely used, it can move from faster storage to slower storage, invest for more expensive services to cheaper ones.
This process can be automated. Letting data migrate tiers as policies such as age or access patterns dictate. As we'll later see, S three has built in mechanisms for doing just that, based on the age of your objects.
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
Amazon Web Services: Monitoring and Metricswith Sharif Nijim2h 4m Intermediate
Amazon Web Services: Data Serviceswith Lynn Langit4h 30m Intermediate
Amazon Web Services: High Availabilitywith Sharif Nijim2h 17m Intermediate
Amazon Web Services for Data Sciencewith Lynn Langit3h 56m Intermediate
2. Object Storage
3. File Systems
4. Database Services
5. Getting Data to AWS
6. Moving Data in AWS
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