Examples of using Dynamodb tables in English and their translations into Spanish
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This section describes steps you can take to performance-tune Hive operations on external DynamoDB tables.
Because DynamoDB tables do not have a schema in cases where only the primary key is the required attribute,
both by running the DynamoDB list-tables command from a terminal session in your environment to list your existing DynamoDB tables, if there are any.
the data that is persisted in your DynamoDB tables, local secondary indexes,
Amazon API Gateway APIs, and Amazon DynamoDB tables required by a serverless application.
available for new DynamoDB tables, helps you secure your application data in Amazon DynamoDB tables by using AWS-managed encryption keys stored in AWS Key Management Service.
an Amazon Elastic MapReduce cluster to copy data from DynamoDB tables to an Amazon S3 bucket, or vice-versa.
DynamoDB table names can contain up to 255 characters, including.
Under Parameters, set DynamoDB table name to the name of your table. .
Existing items in the DynamoDB table are updated with those from the backup data
You can restore a DynamoDB table to a point in time using the console,
Bob has access to a DynamoDB table via DAX but does not have explicit direct access to the same table in DynamoDB. .
If you have data in a DynamoDB table, you can use Hive to copy the data to the Hadoop Distributed File System HDFS.
Assuming that your DynamoDB table has sufficient throughput capacity,
Assume that you have an Amazon DynamoDB table named Thread that is used to store information about threads in a technical support forum.
The DynamoDBConfig property type specifies the AwsRegion and TableName for an Amazon DynamoDB table in your account for an AWS AppSync data source.
This template uses an Amazon EMR cluster, which is sized proportionally to the value of the throughput available to the DynamoDB table.
you define the relationship between items in a DynamoDB table and their corresponding object instances in your code.
you can provide read-write access to a DynamoDB table, while also allowing read-only access via DAX.
then use Apache Hive to process data stored in a DynamoDB table.