1 / 12

Aws Data Engineer Training | Aws Data Engineer Course

Master AWS Data Engineering online! Learn cloud tools, ETL, real-time processing & more with hands-on training. Advance your career with AccentFuture. Enroll today and get started!<br>

ss47
Télécharger la présentation

Aws Data Engineer Training | Aws Data Engineer Course

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Data Storage Best Practices in Amazon S3

  2. Introduction to Amazon S3 Amazon S3 (Simple Storage Service) is a scalable, durable, and secure object storage service by AWS. Ideal for storing and retrieving any amount of data from anywhere on the web. Common use cases include backups, data lakes, and content distribution.

  3. Utilize Appropriate Storage Classes S3 Standard: For frequently accessed data. S3 Intelligent-Tiering: Automatically moves data to the most cost-effective access tier. S3 Glacier: For archival data requiring infrequent access. Selecting the right storage class optimizes cost and performance.

  4. Implement Versioning Enable versioning to preserve, retrieve, and restore every version of every object stored in a bucket. Protects against accidental overwrites and deletions.

  5. Enable Server-Side Encryption SSE-S3: AWS manages the encryption keys. SSE-KMS: AWS Key Management Service for more control over encryption keys. Ensures data at rest is securely encrypted.

  6. Set Up Lifecycle Policies Automate the transition of objects to different storage classes based on access patterns. Define expiration policies to delete objects after a specified period. Helps in managing storage costs effectively.

  7. Configure Access Controls Use Bucket Policies and IAM Policies to define permissions. Implement Access Control Lists (ACLs) for finer-grained access control. Regularly review and audit permissions to ensure security.

  8. Enable Logging and Monitoring Server Access Logging: Provides detailed records for the requests made to a bucket. AWS CloudTrail: Tracks user activity and API usage. Monitoring aids in security audits and operational troubleshooting.

  9. Optimize for Performance Use Multipart Upload for uploading large objects efficiently. Leverage Transfer Acceleration to speed up content delivery using Amazon CloudFront's globally distributed edge locations.

  10. Implement Data Replication Cross-Region Replication (CRR): Automatically replicates data to a different AWS region. Enhances data durability and availability in case of regional outages.

  11. Regularly Review and Optimize Costs Utilize S3 Storage Lens for visibility into object storage usage and activity trends. Analyze metrics to identify cost-saving opportunities and optimize storage configurations.

  12. Contact & Online Training ? We Provide Online Training on Databricks and Big Data Technologies! ✅ Hands-on Training with Real-World Use Cases ✅ Live Sessions with Industry Experts ✅ Job Assistance ✅ Certification Guidance ? Visit our website: https://www.accentfuture.com/ ? For inquiries, contact us at: contact@accentfuture.com, ? +91-96400 01789 (Call/WhatsApp)

More Related