AWS Database Blog
Author: Ruskin Dantra
Ruskin is a Solutions Architect based out of California. He is originally from the Land of the Long White Cloud, New Zealand and is an 18-year veteran in application development with a love for networking. His passion in life is to make complex things simple using AWS.
Recover from accidental DynamoDB changes using Bulk Executor
Recover from accidental changes to your Amazon DynamoDB tables without a full table restore. This post shows how to use the Bulk Executor revert-export command with an incremental export to Amazon S3 to undo unwanted writes, target only a subset of changes with a transform, or fix specific items along the way.
Filter, transform, and load your DynamoDB table exports using AWS Glue
In this post, we show how you can load (import) an Amazon DynamoDB full or incremental table export into a second DynamoDB table with precise control over what gets loaded, at what write rate, and with the ability to observe the progress. This technique helps drive large-scale data migrations and synchronizations where you want maximum control.
Use Amazon DynamoDB incremental exports to drive continuous data retention
Amazon DynamoDB supports incremental exports to Amazon Simple Storage Service (Amazon S3), which enables a variety of use cases for downstream data retention and consumption. In this post, we show you how to maintain a continuously updating export of your table data by doing a bootstrap full export followed by an ongoing series of incremental exports.