AWS amazondynamodb documentation change
Summary
Updated documentation for NoSQL Workbench with enhanced details about data modeling capabilities, operation building, and testing workflows. Added emphasis on designing tables/GSIs, validating access patterns, and testing locally before cloud deployment. Removed standalone 'Data visualization' section and consolidated into 'Operation builder'.
Security assessment
Changes focus on feature enhancements and workflow improvements (local testing, validation of access patterns). No security vulnerabilities, patches, or security-specific configurations are mentioned. The addition of local testing capability improves security posture by enabling validation before cloud deployment, but this isn't a direct security documentation update.
Diff
diff --git a/amazondynamodb/latest/developerguide/workbench.md b/amazondynamodb/latest/developerguide/workbench.md index 8be025cbc..840cba74c 100644 --- a//amazondynamodb/latest/developerguide/workbench.md +++ b//amazondynamodb/latest/developerguide/workbench.md @@ -7 +7 @@ -NoSQL Workbench for Amazon DynamoDB is a cross-platform, client-side GUI application that you can use for modern database development and operations. It's available for Windows, macOS, and Linux. NoSQL Workbench is a visual development tool that provides data modeling, data visualization, and query development features to help you design, create, query, and manage DynamoDB tables. NoSQL Workbench now includes DynamoDB local as an optional part of the installation process, which makes it easier to model your data in DynamoDB local. To learn more about DynamoDB local and its requirements, see [ Setting up DynamoDB local (downloadable version) ](./DynamoDBLocal.html). +NoSQL Workbench for Amazon DynamoDB is a cross-platform, client-side GUI application that you can use for modern database development and operations. It's available for Windows, macOS, and Linux. NoSQL Workbench lets you design DynamoDB data models, define access patterns as real DynamoDB operations, and validate them using sample data. Additionally you can organize your data models into projects. NoSQL Workbench includes DynamoDB local, which makes it possible to test your tables and indexes before committing your data model to the cloud. To learn more about DynamoDB local and its requirements, see [ Setting up DynamoDB local (downloadable version) ](./DynamoDBLocal.html). @@ -9 +9 @@ NoSQL Workbench for Amazon DynamoDB is a cross-platform, client-side GUI applica -**Data modeling** +**Data modeler** @@ -12 +12 @@ NoSQL Workbench for Amazon DynamoDB is a cross-platform, client-side GUI applica -With NoSQL Workbench for DynamoDB, you can build new data models from, or design models based on, existing data models that satisfy your application's data access patterns. You can also import and export the designed data model at the end of the process. For more information, see [Building data models with NoSQL Workbench](./workbench.Modeler.html). +With NoSQL Workbench for DynamoDB, you can start a new project from scratch or use a sample project that matches your use case. Then, you design tables and Global Secondary Indexes, define attributes, and configure sample data. You can also visualize your access patterns as real DynamoDB operations (PutItem, UpdateItem, Query, and others) and run these operations against the configured sample data to validate that the access pattern works as intended, making adjustments to the data model based on validation results. Finally, once validated, you commit the model to either DynamoDB local or your AWS account for further testing and production use. For collaboration, you can import and export designed data models. For more information, see [Building data models with NoSQL Workbench](./workbench.Modeler.html). @@ -14,6 +14 @@ With NoSQL Workbench for DynamoDB, you can build new data models from, or design -**Data visualization** - - -The data model visualizer provides a canvas where you can map queries and visualize the access patterns (facets) of the application without having to write code. Every facet corresponds to a different access pattern in DynamoDB. You can autogenerate sample data for use in your data model. For more information, see [Visualizing data access patterns](./workbench.Visualizer.html). - -**Operation building** +**Operation builder** @@ -30,2 +24,0 @@ The video below details concepts of data modeling with NoSQL Workbench. - * [Install NoSQL Workbench for DynamoDB](./workbench.settingup.install.html) - @@ -34,2 +26,0 @@ The video below details concepts of data modeling with NoSQL Workbench. - * [Visualizing data access patterns](./workbench.Visualizer.html) -