Build for Scale, Performance With Feature-packed Amazon DynamoDB

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" summary

Amazon DynamoDB claims enterprise scale with examples: production peaks above 10 million requests per second and tables over a trillion records; partitions are 10 GB each with ~1,000 small-write or 3,000 read units before adaptive capacity splits; Global Tables replicate asynchronously with observed 1–2 second replication latency and last-writer-wins conflict resolution; on-demand mode boots with ~4x capacity and per-request billing; DAX delivers microsecond latency; export to S3, PITR (35 days) and Streams+Lambda are shown in live patterns.

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" chapters (26)

1. 0:00Start
2. 0:35Purpose-Built Databases
3. 2:33Why no Sql
4. 3:44Why You Might Want To Choose Dynamo Db or Nosql
5. 5:20Why Dynamodb
6. 5:33Dynamodb Is a Fully Managed Nosql Database
7. 6:04Dynamodb Scales to any Workload
8. 7:15Dynamodb Local and the Nosql Workbench for Dynamodb
9. 8:16On-Demand Backup and Point in Time Recovery
10. 8:35Point in Time Recovery
11. 9:15Time To Live
12. 9:42Amazon Cloudwatch Contributor Insights
13. 10:11Dynamodb Accelerator Dax
14. 10:52Dynamodb Streams
15. 11:13Global Tables
16. 12:00Adaptive Capacity
17. 14:47Auto Scaling
18. 15:27On-Demand Capacity Mode
19. 17:28Need for Global Tables
20. 20:25Conflict Resolution
21. 21:32Enhancements to Global Tables
22. 23:28Aws Glue Elastic Views
23. 24:38Export to Amazon S3
24. 26:30Event Processing with Aws Lambda Triggers
25. 28:33Single Table Design
26. 29:07Wrap Up

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