DynamoDB On-Demand is a great step forward, and I'm excited to not have to think about capacity-planning for my databases anymore. That said, there may be times when you want to use the traditional provisioned mode. In general, there are two reasons why you may want to use DynamoDB ...
In an expression, you use a document path to tell DynamoDB where to find an attribute. For a top-level attribute, the document path is simply the attribute name. For a nested attribute, you construct the document path using dereference operators. The following are some examples of document ...
With SQL, you use the SELECT statement to retrieve one or more rows from a table. You use the WHERE clause to determine the data that is returned to you. This is different than using Amazon DynamoDB which provides the following operations for reading data: ExecuteStatement retrieves a single...
Document databases are popular in ecommerce and securities trading platforms, among other uses, because they scale out well across multiple servers to support high data volumes and traffic. Popular document databases include Amazon DynamoDB, Couchbase, and Google Cloud Firestore, but the most widely ...
I am using the DynamoDB as storage. When I try to get an access token with grant_type 'client_credentials' or 'password', I get the "The value must not be empty" error message. I traced the error down to the 'setAccessToken' function of ...
In the example, IAM roles in function A can only perform Amazon EC2 actions and Amazon DynamoDB actions, and they don’t have access to the Amazon S3 or Amazon Relational Database Service (Amazon RDS) resources of function B, which serve a different use case. In this way, you can make...
Rather than working to make joins scale better, DynamoDB sidesteps the problem by removing the ability to use joins at all. But as an application developer, you still need some of the benefits of relational joins. And one of the big benefits of joins is the ability to get multiple, ...
This is to move away the _event_time field from Rockset, which we cannot use when reimport the data
Adhere to the programming language principles and best practices Lambda Use Cases DATA Processing AWS Lambda is widely used in data processing systems or pipelines. AWS lambda can be triggered directly from other AWS services such as S3 buckets, AWS Kinesis , AWS Dynamo DB, Cloud watch and so ...
The information gathered from the event data injection also allowed TestLabs to download the entire contents of the application’s S3 buckets and DynamoDB database. Excessive privileges made this data readily available if you tried hard enough to find it. The S3 bucket was public, and the appli...