Examples of using Amazon dynamodb in English and their translations into German
{-}
-
Colloquial
-
Official
-
Ecclesiastic
-
Medicine
-
Financial
-
Ecclesiastic
-
Political
-
Computer
-
Programming
-
Official/political
-
Political
How Do I Use Amazon DynamoDB Metrics?
Use the AWS CloudFormation AWS:: DAX::ParameterGroup resource to create a parameter group for use with Amazon DynamoDB.
Create Amazon DynamoDB Object Mapper Client.
In this step, you create an IAM user with a policy that grants access to your Amazon DynamoDB Accelerator(DAX) cluster and to DynamoDB. .
Before you start monitoring Amazon DynamoDB, you should create a monitoring plan that includes answers to the following questions.
People also translate
Sets the desired minimum number of consistent reads of items(up to 1KBin size) per second for the specified table before Amazon DynamoDB balances the load.
Functions triggered by an Amazon DynamoDB stream or Kinesis stream.
Amazon DynamoDB point-in-time recovery(PITR) provides automatic backups of your DynamoDB table data.
Node. js developers can leverage Amazon DynamoDB Accelerator(DAX), using the DAX client for Node. js.
Amazon DynamoDB removes traditional scalability limitations on data storage while maintaining low latency and predictable performance.
This policy provides row-level access to Amazon DynamoDB based on the user's Amazon Cognito ID.
With Amazon DynamoDB, the effects of a PutItem action are permanent when DynamoDB replies with an HTTP 200 status code OK.
The high-level library described in this section provides Amazon DynamoDB object mapper which lets you map client-side classes to tables.
Amazon DynamoDB global tables provide a fully managed solution for deploying a multi-region, multi-master database, without having to build and maintain your own replication solution.
An exception to this is when an event source(for example, Amazon DynamoDB or Kinesis) uses the pull model, where permissions are managed in the Lambda function execution role instead.
This tutorial demonstrates how to launch an Amazon EC2 instance in your default virtual private cloud(VPC),connect to the instance, and run a sample application that uses Amazon DynamoDB Accelerator DAX.
When you create a table or index in Amazon DynamoDB, you must specify your capacity requirements for read and write activity.
For example, you might allow some users complete access to Amazon Elastic Compute Cloud(Amazon EC2),Amazon Simple Storage Service(Amazon S3), Amazon DynamoDB, Amazon Redshift, and other AWS services.
In Tutorial: Working with Amazon DynamoDB and Apache Hive, you created an external Hive table that mapped to a DynamoDB table.
The examples in this section are written with the assumption you followed the steps in Tutorial: Working with Amazon DynamoDB and Apache Hive and have an external table that is mastered in DynamoDB ddb_features.
When you query an index, Amazon DynamoDB can access any attribute in the projection as if those attributes were in a table of their own.
DAX reduces operational andapplication complexity by providing a managed service that is API-compatible with Amazon DynamoDB, and thus requires only minimal functional changes to use with an existing application.
In the Tutorial: Working with Amazon DynamoDB and Apache Hive, you copied data from a native Hive table into an external DynamoDB table, and then queried the external DynamoDB table.
For example, imagine that user Alice has permissions only to launch EC2 instances and to work with Amazon S3 buckets, but the role she passes to an EC2instance has permissions to work with IAM and Amazon DynamoDB.
The NoSQL Database feature uses Amazon DynamoDB to enable you to create database tables that can store and retrieve data for use by your apps.
While PaaS is a new buzz-term mainly coined by Microsoft Azure, it has existed for a while in the form of specialized services, such as the Amazon Web Services S3,a proprietary storage service, Amazon DynamoDB, a proprietary NoSQL database service, or Google App Engine, a proprietary app hosting environment.
The federated user could not perform actions in Amazon SNS,Amazon SQS, Amazon DynamoDB, or in any S3 bucket except productionapp, even though those permissions are granted to the IAM user associated with the GetFederationToken call.
For example, an application can call an API in API Gateway to upload a user's annual income andexpense data to Amazon Simple Storage Service or Amazon DynamoDB, process the data in AWS Lambda to compute tax owed, and file a tax return via the IRS website.
The administrator reviews the time stamps listed in the Last Accessed column andnotices that the team's application is using only Amazon DynamoDB, Amazon S3,Amazon CloudWatch, Amazon Simple Notification Service(Amazon SNS), and Amazon Simple Queue Service Amazon SQS.
Policy description: This policy grants permissions to view, read, and write permissions for a variety of AWS services intended for application development, including Amazon API Gateway, Amazon AppStream, Amazon CloudSearch, AWS CodeCommit, AWS CodeDeploy, AWS CodePipeline,AWS Device Farm, Amazon DynamoDB, Amazon Elastic Compute Cloud,Amazon Elastic Container Service(ECS), AWS Lambda, Amazon RDS, Amazon Route 53, Amazon Simple Storage Service(S3), Amazon Simple Email Service(SES), Amazon Simple Queue Service(SQS), and Amazon Simple Workflow Service SWF.